public repository of the uncongeniality_analysis. Initial publication
This commit is contained in:
Orihara Izaya
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OLS Regression Results
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============================================================================================
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Dep. Variable: bayes-corrected (q=0.25) valence R-squared: 0.021
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Model: OLS Adj. R-squared: 0.021
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Method: Least Squares F-statistic: 5.020e+04
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Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
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Time: 09:31:51 Log-Likelihood: -221.34
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No. Observations: 2392896 AIC: 446.7
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Df Residuals: 2392894 BIC: 472.1
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Df Model: 1
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Covariance Type: nonrobust
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====================================================================================================================
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coef std err t P>|t| [0.025 0.975]
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--------------------------------------------------------------------------------------------------------------------
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const 0.1246 0.000 796.722 0.000 0.124 0.125
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mean bayes-corrected (q=0.25) valence of replies -0.0351 0.000 -224.063 0.000 -0.035 -0.035
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==============================================================================
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Omnibus: 426104.077 Durbin-Watson: 1.729
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Prob(Omnibus): 0.000 Jarque-Bera (JB): 131391.270
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Skew: -0.336 Prob(JB): 0.00
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Kurtosis: 2.070 Cond. No. 1.00
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==============================================================================
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Notes:
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[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
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OLS Regression Results
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============================================================================================
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Dep. Variable: bayes-corrected (q=0.25) valence R-squared: 0.057
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Model: OLS Adj. R-squared: 0.057
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Method: Least Squares F-statistic: 9.915e+04
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Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
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Time: 09:31:54 Log-Likelihood: 2.1429e+05
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No. Observations: 1630262 AIC: -4.286e+05
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Df Residuals: 1630260 BIC: -4.286e+05
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Df Model: 1
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Covariance Type: nonrobust
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====================================================================================================================
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coef std err t P>|t| [0.025 0.975]
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--------------------------------------------------------------------------------------------------------------------
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const 0.1419 0.000 854.072 0.000 0.142 0.142
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mean bayes-corrected (q=0.25) valence of replies -0.0523 0.000 -314.877 0.000 -0.053 -0.052
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==============================================================================
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Omnibus: 101738.374 Durbin-Watson: 1.753
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Prob(Omnibus): 0.000 Jarque-Bera (JB): 62821.338
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Skew: -0.351 Prob(JB): 0.00
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Kurtosis: 2.343 Cond. No. 1.00
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==============================================================================
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Notes:
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[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
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OLS Regression Results
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============================================================================================
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Dep. Variable: bayes-corrected (q=0.25) valence R-squared: 0.019
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Model: OLS Adj. R-squared: 0.019
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Method: Least Squares F-statistic: 8343.
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Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
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Time: 09:31:53 Log-Likelihood: -43060.
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No. Observations: 440260 AIC: 8.612e+04
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Df Residuals: 440258 BIC: 8.615e+04
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Df Model: 1
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Covariance Type: nonrobust
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====================================================================================================================
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coef std err t P>|t| [0.025 0.975]
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--------------------------------------------------------------------------------------------------------------------
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const 0.1353 0.000 336.404 0.000 0.134 0.136
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mean bayes-corrected (q=0.25) valence of replies -0.0367 0.000 -91.341 0.000 -0.038 -0.036
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==============================================================================
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Omnibus: 129058.321 Durbin-Watson: 1.735
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Prob(Omnibus): 0.000 Jarque-Bera (JB): 32315.635
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Skew: -0.421 Prob(JB): 0.00
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Kurtosis: 1.974 Cond. No. 1.00
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==============================================================================
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Notes:
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[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
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OLS Regression Results
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============================================================================================
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Dep. Variable: bayes-corrected (q=0.25) valence R-squared: 0.032
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Model: OLS Adj. R-squared: 0.032
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Method: Least Squares F-statistic: 3435.
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Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
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Time: 09:31:54 Log-Likelihood: -1315.0
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No. Observations: 102305 AIC: 2634.
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Df Residuals: 102303 BIC: 2653.
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Df Model: 1
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Covariance Type: nonrobust
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====================================================================================================================
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coef std err t P>|t| [0.025 0.975]
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--------------------------------------------------------------------------------------------------------------------
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const 0.1253 0.001 163.518 0.000 0.124 0.127
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mean bayes-corrected (q=0.25) valence of replies -0.0449 0.001 -58.610 0.000 -0.046 -0.043
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==============================================================================
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Omnibus: 19234.419 Durbin-Watson: 1.748
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Prob(Omnibus): 0.000 Jarque-Bera (JB): 5689.759
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Skew: -0.334 Prob(JB): 0.00
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Kurtosis: 2.057 Cond. No. 1.00
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==============================================================================
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Notes:
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[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
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OLS Regression Results
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============================================================================================
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Dep. Variable: bayes-corrected (q=0.25) valence R-squared: 0.017
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Model: OLS Adj. R-squared: 0.017
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Method: Least Squares F-statistic: 5484.
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Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
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Time: 09:31:53 Log-Likelihood: 24023.
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No. Observations: 316428 AIC: -4.804e+04
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Df Residuals: 316426 BIC: -4.802e+04
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Df Model: 1
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Covariance Type: nonrobust
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====================================================================================================================
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coef std err t P>|t| [0.025 0.975]
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--------------------------------------------------------------------------------------------------------------------
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const 0.1474 0.000 369.619 0.000 0.147 0.148
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mean bayes-corrected (q=0.25) valence of replies -0.0295 0.000 -74.054 0.000 -0.030 -0.029
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==============================================================================
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Omnibus: 28321.195 Durbin-Watson: 1.760
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Prob(Omnibus): 0.000 Jarque-Bera (JB): 17536.904
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Skew: -0.450 Prob(JB): 0.00
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Kurtosis: 2.278 Cond. No. 1.00
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==============================================================================
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Notes:
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[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
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OLS Regression Results
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============================================================================================
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Dep. Variable: bayes-corrected (q=0.25) valence R-squared: 0.043
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Model: OLS Adj. R-squared: 0.043
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Method: Least Squares F-statistic: 1211.
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Date: Mon, 22 Jul 2024 Prob (F-statistic): 1.61e-259
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Time: 09:31:54 Log-Likelihood: -439.22
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No. Observations: 27005 AIC: 882.4
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Df Residuals: 27003 BIC: 898.9
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Df Model: 1
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Covariance Type: nonrobust
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====================================================================================================================
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coef std err t P>|t| [0.025 0.975]
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--------------------------------------------------------------------------------------------------------------------
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const 0.1074 0.001 71.776 0.000 0.104 0.110
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mean bayes-corrected (q=0.25) valence of replies -0.0521 0.001 -34.794 0.000 -0.055 -0.049
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==============================================================================
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Omnibus: 6746.889 Durbin-Watson: 1.761
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Prob(Omnibus): 0.000 Jarque-Bera (JB): 1324.435
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Skew: -0.197 Prob(JB): 2.53e-288
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Kurtosis: 1.989 Cond. No. 1.00
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==============================================================================
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Notes:
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[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
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@@ -0,0 +1,25 @@
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OLS Regression Results
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============================================================================================
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Dep. Variable: bayes-corrected (q=0.25) valence R-squared: 0.028
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Model: OLS Adj. R-squared: 0.028
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Method: Least Squares F-statistic: 1805.
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Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
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Time: 09:31:54 Log-Likelihood: -3477.5
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No. Observations: 63079 AIC: 6959.
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Df Residuals: 63077 BIC: 6977.
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Df Model: 1
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Covariance Type: nonrobust
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====================================================================================================================
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coef std err t P>|t| [0.025 0.975]
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--------------------------------------------------------------------------------------------------------------------
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const 0.1191 0.001 117.001 0.000 0.117 0.121
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mean bayes-corrected (q=0.25) valence of replies -0.0433 0.001 -42.490 0.000 -0.045 -0.041
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==============================================================================
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Omnibus: 21454.701 Durbin-Watson: 1.721
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Prob(Omnibus): 0.000 Jarque-Bera (JB): 4028.801
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Skew: -0.319 Prob(JB): 0.00
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Kurtosis: 1.939 Cond. No. 1.00
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==============================================================================
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Notes:
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[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
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OLS Regression Results
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============================================================================================
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Dep. Variable: bayes-corrected (q=0.25) valence R-squared: 0.028
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Model: OLS Adj. R-squared: 0.028
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Method: Least Squares F-statistic: 6790.
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Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
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Time: 09:31:54 Log-Likelihood: -13916.
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No. Observations: 235551 AIC: 2.784e+04
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Df Residuals: 235549 BIC: 2.786e+04
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Df Model: 1
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Covariance Type: nonrobust
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====================================================================================================================
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coef std err t P>|t| [0.025 0.975]
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--------------------------------------------------------------------------------------------------------------------
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const 0.1362 0.001 257.499 0.000 0.135 0.137
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mean bayes-corrected (q=0.25) valence of replies -0.0436 0.001 -82.403 0.000 -0.045 -0.043
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==============================================================================
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Omnibus: 52959.753 Durbin-Watson: 1.732
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Prob(Omnibus): 0.000 Jarque-Bera (JB): 15867.344
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Skew: -0.409 Prob(JB): 0.00
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Kurtosis: 2.027 Cond. No. 1.00
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==============================================================================
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Notes:
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[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
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@@ -0,0 +1,25 @@
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OLS Regression Results
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============================================================================================
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Dep. Variable: bayes-corrected (q=0.25) valence R-squared: 0.024
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Model: OLS Adj. R-squared: 0.024
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Method: Least Squares F-statistic: 1726.
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Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
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Time: 09:31:54 Log-Likelihood: 10825.
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No. Observations: 69253 AIC: -2.165e+04
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Df Residuals: 69251 BIC: -2.163e+04
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Df Model: 1
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Covariance Type: nonrobust
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====================================================================================================================
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coef std err t P>|t| [0.025 0.975]
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--------------------------------------------------------------------------------------------------------------------
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const 0.1109 0.001 141.050 0.000 0.109 0.112
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mean bayes-corrected (q=0.25) valence of replies -0.0327 0.001 -41.551 0.000 -0.034 -0.031
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==============================================================================
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Omnibus: 6922.840 Durbin-Watson: 1.814
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Prob(Omnibus): 0.000 Jarque-Bera (JB): 2381.203
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Skew: -0.195 Prob(JB): 0.00
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Kurtosis: 2.179 Cond. No. 1.00
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==============================================================================
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Notes:
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[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
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@@ -0,0 +1,25 @@
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OLS Regression Results
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============================================================================================
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Dep. Variable: bayes-corrected (q=0.25) valence R-squared: 0.018
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Model: OLS Adj. R-squared: 0.018
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Method: Least Squares F-statistic: 1.166e+04
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Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
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Time: 09:31:53 Log-Likelihood: 34045.
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No. Observations: 621929 AIC: -6.809e+04
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Df Residuals: 621927 BIC: -6.806e+04
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Df Model: 1
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Covariance Type: nonrobust
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====================================================================================================================
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coef std err t P>|t| [0.025 0.975]
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--------------------------------------------------------------------------------------------------------------------
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const 0.1305 0.000 449.326 0.000 0.130 0.131
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mean bayes-corrected (q=0.25) valence of replies -0.0314 0.000 -107.983 0.000 -0.032 -0.031
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==============================================================================
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Omnibus: 78154.602 Durbin-Watson: 1.733
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Prob(Omnibus): 0.000 Jarque-Bera (JB): 31765.731
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Skew: -0.357 Prob(JB): 0.00
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Kurtosis: 2.155 Cond. No. 1.00
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==============================================================================
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Notes:
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[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
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@@ -0,0 +1,25 @@
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OLS Regression Results
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============================================================================================
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Dep. Variable: bayes-corrected (q=0.25) valence R-squared: 0.028
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Model: OLS Adj. R-squared: 0.028
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Method: Least Squares F-statistic: 1.007e+04
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Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
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Time: 09:31:53 Log-Likelihood: 27583.
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No. Observations: 345534 AIC: -5.516e+04
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Df Residuals: 345532 BIC: -5.514e+04
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Df Model: 1
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Covariance Type: nonrobust
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====================================================================================================================
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coef std err t P>|t| [0.025 0.975]
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--------------------------------------------------------------------------------------------------------------------
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const 0.0723 0.000 190.132 0.000 0.072 0.073
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mean bayes-corrected (q=0.25) valence of replies -0.0381 0.000 -100.372 0.000 -0.039 -0.037
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==============================================================================
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Omnibus: 59103.072 Durbin-Watson: 1.791
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Prob(Omnibus): 0.000 Jarque-Bera (JB): 12955.369
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Skew: -0.052 Prob(JB): 0.00
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Kurtosis: 2.057 Cond. No. 1.00
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==============================================================================
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Notes:
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[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
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@@ -0,0 +1,25 @@
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OLS Regression Results
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============================================================================================
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Dep. Variable: bayes-corrected (q=0.25) valence R-squared: 0.032
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Model: OLS Adj. R-squared: 0.032
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Method: Least Squares F-statistic: 3344.
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Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
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Time: 09:31:54 Log-Likelihood: -6723.8
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No. Observations: 100071 AIC: 1.345e+04
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Df Residuals: 100069 BIC: 1.347e+04
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Df Model: 1
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Covariance Type: nonrobust
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====================================================================================================================
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coef std err t P>|t| [0.025 0.975]
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--------------------------------------------------------------------------------------------------------------------
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const 0.1246 0.001 152.318 0.000 0.123 0.126
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mean bayes-corrected (q=0.25) valence of replies -0.0473 0.001 -57.827 0.000 -0.049 -0.046
|
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==============================================================================
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Omnibus: 28267.899 Durbin-Watson: 1.740
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Prob(Omnibus): 0.000 Jarque-Bera (JB): 6368.870
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Skew: -0.345 Prob(JB): 0.00
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Kurtosis: 1.975 Cond. No. 1.00
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==============================================================================
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Notes:
|
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[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
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+25
@@ -0,0 +1,25 @@
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OLS Regression Results
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==============================================================================
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Dep. Variable: valence R-squared: 0.010
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Model: OLS Adj. R-squared: 0.010
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||||
Method: Least Squares F-statistic: 2.337e+04
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Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
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Time: 09:31:53 Log-Likelihood: -4.8218e+05
|
||||
No. Observations: 2392896 AIC: 9.644e+05
|
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Df Residuals: 2392894 BIC: 9.644e+05
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Df Model: 1
|
||||
Covariance Type: nonrobust
|
||||
===========================================================================================
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coef std err t P>|t| [0.025 0.975]
|
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-------------------------------------------------------------------------------------------
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const 0.1158 0.000 604.951 0.000 0.115 0.116
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mean valence of replies -0.0293 0.000 -152.877 0.000 -0.030 -0.029
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==============================================================================
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Omnibus: 785394.853 Durbin-Watson: 1.750
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||||
Prob(Omnibus): 0.000 Jarque-Bera (JB): 152455.997
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Skew: -0.323 Prob(JB): 0.00
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Kurtosis: 1.946 Cond. No. 1.00
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==============================================================================
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||||
|
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Notes:
|
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[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
|
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@@ -0,0 +1,25 @@
|
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OLS Regression Results
|
||||
===========================================================================================
|
||||
Dep. Variable: bayes-corrected (q=0.5) valence R-squared: 0.027
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Model: OLS Adj. R-squared: 0.027
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Method: Least Squares F-statistic: 6.556e+04
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Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
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Time: 09:31:52 Log-Likelihood: 3.9215e+05
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No. Observations: 2392896 AIC: -7.843e+05
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Df Residuals: 2392894 BIC: -7.843e+05
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Df Model: 1
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Covariance Type: nonrobust
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===================================================================================================================
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coef std err t P>|t| [0.025 0.975]
|
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-------------------------------------------------------------------------------------------------------------------
|
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const 0.1323 0.000 996.732 0.000 0.132 0.133
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mean bayes-corrected (q=0.5) valence of replies -0.0340 0.000 -256.042 0.000 -0.034 -0.034
|
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==============================================================================
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Omnibus: 168653.316 Durbin-Watson: 1.726
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||||
Prob(Omnibus): 0.000 Jarque-Bera (JB): 107460.980
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||||
Skew: -0.396 Prob(JB): 0.00
|
||||
Kurtosis: 2.328 Cond. No. 1.00
|
||||
==============================================================================
|
||||
|
||||
Notes:
|
||||
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
|
||||
@@ -0,0 +1,25 @@
|
||||
OLS Regression Results
|
||||
============================================================================================
|
||||
Dep. Variable: bayes-corrected (q=0.75) valence R-squared: 0.032
|
||||
Model: OLS Adj. R-squared: 0.032
|
||||
Method: Least Squares F-statistic: 8.012e+04
|
||||
Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
|
||||
Time: 09:31:52 Log-Likelihood: 8.8112e+05
|
||||
No. Observations: 2392896 AIC: -1.762e+06
|
||||
Df Residuals: 2392894 BIC: -1.762e+06
|
||||
Df Model: 1
|
||||
Covariance Type: nonrobust
|
||||
====================================================================================================================
|
||||
coef std err t P>|t| [0.025 0.975]
|
||||
--------------------------------------------------------------------------------------------------------------------
|
||||
const 0.1411 0.000 1303.270 0.000 0.141 0.141
|
||||
mean bayes-corrected (q=0.75) valence of replies -0.0306 0.000 -283.054 0.000 -0.031 -0.030
|
||||
==============================================================================
|
||||
Omnibus: 95205.666 Durbin-Watson: 1.729
|
||||
Prob(Omnibus): 0.000 Jarque-Bera (JB): 102788.717
|
||||
Skew: -0.491 Prob(JB): 0.00
|
||||
Kurtosis: 2.742 Cond. No. 1.00
|
||||
==============================================================================
|
||||
|
||||
Notes:
|
||||
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
|
||||
@@ -0,0 +1,8 @@
|
||||
Mean of bayes-corrected (q=0.25) extremity: 0.28634078314814315
|
||||
Mean of mean bayes-corrected (q=0.25) extremity of replies: 0.31853427098636283
|
||||
Standard Deviation of bayes-corrected (q=0.25) extremity: 0.12461005214018245
|
||||
Standard Deviation of mean bayes-corrected (q=0.25) extremity of replies: 0.09803757310470287
|
||||
Degrees of Freedom: 2392895
|
||||
Cohen's d: -0.28714996199978216
|
||||
T-statistic: -396.76675511778956
|
||||
P-value: 0.0
|
||||
@@ -0,0 +1,8 @@
|
||||
Mean of bayes-corrected (q=0.25) extremity: 0.2873043034163312
|
||||
Mean of mean bayes-corrected (q=0.25) extremity of replies: 0.3180681433274033
|
||||
Standard Deviation of bayes-corrected (q=0.25) extremity: 0.12427097360816901
|
||||
Standard Deviation of mean bayes-corrected (q=0.25) extremity of replies: 0.10041204122831116
|
||||
Degrees of Freedom: 102304
|
||||
Cohen's d: -0.27231114070182555
|
||||
T-statistic: -77.26207861609845
|
||||
P-value: 0.0
|
||||
@@ -0,0 +1,8 @@
|
||||
Mean of bayes-corrected (q=0.25) extremity: 0.28753090601867964
|
||||
Mean of mean bayes-corrected (q=0.25) extremity of replies: 0.3206172046668397
|
||||
Standard Deviation of bayes-corrected (q=0.25) extremity: 0.12269603857552688
|
||||
Standard Deviation of mean bayes-corrected (q=0.25) extremity of replies: 0.09544219919767762
|
||||
Degrees of Freedom: 316427
|
||||
Cohen's d: -0.3010114266220678
|
||||
T-statistic: -144.89599610520233
|
||||
P-value: 0.0
|
||||
@@ -0,0 +1,8 @@
|
||||
Mean of bayes-corrected (q=0.25) extremity: 0.30983360408913946
|
||||
Mean of mean bayes-corrected (q=0.25) extremity of replies: 0.330913534598374
|
||||
Standard Deviation of bayes-corrected (q=0.25) extremity: 0.1266220167440838
|
||||
Standard Deviation of mean bayes-corrected (q=0.25) extremity of replies: 0.0994658270407316
|
||||
Degrees of Freedom: 440259
|
||||
Cohen's d: -0.18514479506979328
|
||||
T-statistic: -116.67457613500132
|
||||
P-value: 0.0
|
||||
@@ -0,0 +1,8 @@
|
||||
Mean of bayes-corrected (q=0.25) extremity: 0.286001211119296
|
||||
Mean of mean bayes-corrected (q=0.25) extremity of replies: 0.32344058185785135
|
||||
Standard Deviation of bayes-corrected (q=0.25) extremity: 0.12360412242902419
|
||||
Standard Deviation of mean bayes-corrected (q=0.25) extremity of replies: 0.09582069057098505
|
||||
Degrees of Freedom: 27004
|
||||
Cohen's d: -0.3385470290175242
|
||||
T-statistic: -48.09524752175683
|
||||
P-value: 0.0
|
||||
@@ -0,0 +1,8 @@
|
||||
Mean of bayes-corrected (q=0.25) extremity: 0.30568494651578504
|
||||
Mean of mean bayes-corrected (q=0.25) extremity of replies: 0.33706126033387757
|
||||
Standard Deviation of bayes-corrected (q=0.25) extremity: 0.12135285517757544
|
||||
Standard Deviation of mean bayes-corrected (q=0.25) extremity of replies: 0.09268724557998224
|
||||
Degrees of Freedom: 63078
|
||||
Cohen's d: -0.2905871965145026
|
||||
T-statistic: -63.21801300923011
|
||||
P-value: 0.0
|
||||
@@ -0,0 +1,8 @@
|
||||
Mean of bayes-corrected (q=0.25) extremity: 0.3045872088628839
|
||||
Mean of mean bayes-corrected (q=0.25) extremity of replies: 0.33005502824126426
|
||||
Standard Deviation of bayes-corrected (q=0.25) extremity: 0.12405998014131653
|
||||
Standard Deviation of mean bayes-corrected (q=0.25) extremity of replies: 0.09742991339150692
|
||||
Degrees of Freedom: 235550
|
||||
Cohen's d: -0.22832386975048508
|
||||
T-statistic: -97.05206575930157
|
||||
P-value: 0.0
|
||||
@@ -0,0 +1,8 @@
|
||||
Mean of bayes-corrected (q=0.25) extremity: 0.25434099233474056
|
||||
Mean of mean bayes-corrected (q=0.25) extremity of replies: 0.3002874727751491
|
||||
Standard Deviation of bayes-corrected (q=0.25) extremity: 0.1194543498720806
|
||||
Standard Deviation of mean bayes-corrected (q=0.25) extremity of replies: 0.09661488578718154
|
||||
Degrees of Freedom: 69252
|
||||
Cohen's d: -0.4229377864257918
|
||||
T-statistic: -93.24696971910268
|
||||
P-value: 0.0
|
||||
@@ -0,0 +1,8 @@
|
||||
Mean of bayes-corrected (q=0.25) extremity: 0.2747813213977206
|
||||
Mean of mean bayes-corrected (q=0.25) extremity of replies: 0.31051648819461664
|
||||
Standard Deviation of bayes-corrected (q=0.25) extremity: 0.1232411698734475
|
||||
Standard Deviation of mean bayes-corrected (q=0.25) extremity of replies: 0.09815038738028235
|
||||
Degrees of Freedom: 621928
|
||||
Cohen's d: -0.3207697725588003
|
||||
T-statistic: -224.4339595489235
|
||||
P-value: 0.0
|
||||
@@ -0,0 +1,8 @@
|
||||
Mean of bayes-corrected (q=0.25) extremity: 0.25732194943047365
|
||||
Mean of mean bayes-corrected (q=0.25) extremity of replies: 0.3019777399435376
|
||||
Standard Deviation of bayes-corrected (q=0.25) extremity: 0.1187657730515952
|
||||
Standard Deviation of mean bayes-corrected (q=0.25) extremity of replies: 0.09498121080140695
|
||||
Degrees of Freedom: 345533
|
||||
Cohen's d: -0.4152747999524859
|
||||
T-statistic: -212.56678640514008
|
||||
P-value: 0.0
|
||||
@@ -0,0 +1,8 @@
|
||||
Mean of bayes-corrected (q=0.25) extremity: 0.30601102207250513
|
||||
Mean of mean bayes-corrected (q=0.25) extremity of replies: 0.328439915246921
|
||||
Standard Deviation of bayes-corrected (q=0.25) extremity: 0.12292708240128108
|
||||
Standard Deviation of mean bayes-corrected (q=0.25) extremity of replies: 0.098047183761713
|
||||
Degrees of Freedom: 100070
|
||||
Cohen's d: -0.20172544463043993
|
||||
T-statistic: -55.9671976011527
|
||||
P-value: 0.0
|
||||
@@ -0,0 +1,8 @@
|
||||
Mean of bayes-corrected (q=0.25) extremity: 0.29265411081901965
|
||||
Mean of mean bayes-corrected (q=0.25) extremity of replies: 0.316766141686027
|
||||
Standard Deviation of bayes-corrected (q=0.25) extremity: 0.11701339959130957
|
||||
Standard Deviation of mean bayes-corrected (q=0.25) extremity of replies: 0.09812627267575441
|
||||
Degrees of Freedom: 1630261
|
||||
Cohen's d: -0.2232935227954181
|
||||
T-statistic: -248.9875068375778
|
||||
P-value: 0.0
|
||||
+8
@@ -0,0 +1,8 @@
|
||||
Mean of extremity: 0.2786279465660722
|
||||
Mean of mean extremity of replies: 0.33064022086792666
|
||||
Standard Deviation of extremity: 0.15566001726472525
|
||||
Standard Deviation of mean extremity of replies: 0.15685179947476463
|
||||
Degrees of Freedom: 2392895
|
||||
Cohen's d: -0.332863548235494
|
||||
T-statistic: -441.7826610833192
|
||||
P-value: 0.0
|
||||
+8
@@ -0,0 +1,8 @@
|
||||
Mean of bayes-corrected (q=0.5) extremity: 0.2934997056888845
|
||||
Mean of mean bayes-corrected (q=0.5) extremity of replies: 0.31880240669265064
|
||||
Standard Deviation of bayes-corrected (q=0.5) extremity: 0.10366027656607042
|
||||
Standard Deviation of mean bayes-corrected (q=0.5) extremity of replies: 0.07259709613375841
|
||||
Degrees of Freedom: 2392895
|
||||
Cohen's d: -0.28275329909468133
|
||||
T-statistic: -394.7125869249032
|
||||
P-value: 0.0
|
||||
+8
@@ -0,0 +1,8 @@
|
||||
Mean of bayes-corrected (q=0.75) extremity: 0.3010823980840001
|
||||
Mean of mean bayes-corrected (q=0.75) extremity of replies: 0.32039106933723704
|
||||
Standard Deviation of bayes-corrected (q=0.75) extremity: 0.08248076963764756
|
||||
Standard Deviation of mean bayes-corrected (q=0.75) extremity of replies: 0.05223289636934443
|
||||
Degrees of Freedom: 2392895
|
||||
Cohen's d: -0.2796984844303324
|
||||
T-statistic: -391.6388789093796
|
||||
P-value: 0.0
|
||||
@@ -0,0 +1,26 @@
|
||||
OLS Regression Results
|
||||
=================================================================================
|
||||
Dep. Variable: number O(n+1)-replies R-squared: 0.194
|
||||
Model: OLS Adj. R-squared: 0.194
|
||||
Method: Least Squares F-statistic: 7.311e+05
|
||||
Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
|
||||
Time: 09:31:51 Log-Likelihood: -1.0415e+07
|
||||
No. Observations: 6069971 AIC: 2.083e+07
|
||||
Df Residuals: 6069968 BIC: 2.083e+07
|
||||
Df Model: 2
|
||||
Covariance Type: nonrobust
|
||||
==============================================================================
|
||||
coef std err t P>|t| [0.025 0.975]
|
||||
------------------------------------------------------------------------------
|
||||
const 1.1129 0.001 2037.629 0.000 1.112 1.114
|
||||
upvotes 0.0893 0.001 162.278 0.000 0.088 0.090
|
||||
downvotes 0.6433 0.001 1168.654 0.000 0.642 0.644
|
||||
==============================================================================
|
||||
Omnibus: 3179849.625 Durbin-Watson: 1.812
|
||||
Prob(Omnibus): 0.000 Jarque-Bera (JB): 138815450.026
|
||||
Skew: 1.836 Prob(JB): 0.00
|
||||
Kurtosis: 26.138 Cond. No. 1.13
|
||||
==============================================================================
|
||||
|
||||
Notes:
|
||||
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
|
||||
@@ -0,0 +1,26 @@
|
||||
OLS Regression Results
|
||||
=================================================================================
|
||||
Dep. Variable: number O(n+1)-replies R-squared: 0.220
|
||||
Model: OLS Adj. R-squared: 0.220
|
||||
Method: Least Squares F-statistic: 6.744e+05
|
||||
Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
|
||||
Time: 09:31:43 Log-Likelihood: -8.1863e+06
|
||||
No. Observations: 4786218 AIC: 1.637e+07
|
||||
Df Residuals: 4786215 BIC: 1.637e+07
|
||||
Df Model: 2
|
||||
Covariance Type: nonrobust
|
||||
====================================================================================================
|
||||
coef std err t P>|t| [0.025 0.975]
|
||||
----------------------------------------------------------------------------------------------------
|
||||
const 1.1760 0.001 1922.382 0.000 1.175 1.177
|
||||
bayes-corrected (q=0.25) valence -0.4349 0.001 -707.468 0.000 -0.436 -0.434
|
||||
totalvotes 0.5207 0.001 847.067 0.000 0.520 0.522
|
||||
==============================================================================
|
||||
Omnibus: 2282674.662 Durbin-Watson: 1.758
|
||||
Prob(Omnibus): 0.000 Jarque-Bera (JB): 64040137.713
|
||||
Skew: 1.723 Prob(JB): 0.00
|
||||
Kurtosis: 20.586 Cond. No. 1.10
|
||||
==============================================================================
|
||||
|
||||
Notes:
|
||||
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
|
||||
@@ -0,0 +1 @@
|
||||
totalvotes: 208.8619281171 (CI: [ 208.5635392284, 209.1603170058])
|
||||
@@ -0,0 +1 @@
|
||||
totalvotes: 444292.7728500224 (CI: [ 403421.6792516428, 485163.8664484020])
|
||||
@@ -0,0 +1,26 @@
|
||||
OLS Regression Results
|
||||
=================================================================================
|
||||
Dep. Variable: number O(n+1)-replies R-squared: 0.136
|
||||
Model: OLS Adj. R-squared: 0.136
|
||||
Method: Least Squares F-statistic: 3.982e+05
|
||||
Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
|
||||
Time: 09:31:50 Log-Likelihood: -6.2998e+06
|
||||
No. Observations: 5050120 AIC: 1.260e+07
|
||||
Df Residuals: 5050117 BIC: 1.260e+07
|
||||
Df Model: 2
|
||||
Covariance Type: nonrobust
|
||||
====================================================================================================
|
||||
coef std err t P>|t| [0.025 0.975]
|
||||
----------------------------------------------------------------------------------------------------
|
||||
const 0.6133 0.000 1636.095 0.000 0.613 0.614
|
||||
bayes-corrected (q=0.25) valence -0.2055 0.000 -548.027 0.000 -0.206 -0.205
|
||||
totalvotes 0.2575 0.000 686.512 0.000 0.257 0.258
|
||||
==============================================================================
|
||||
Omnibus: 2832727.339 Durbin-Watson: 1.864
|
||||
Prob(Omnibus): 0.000 Jarque-Bera (JB): 85433368.019
|
||||
Skew: 2.153 Prob(JB): 0.00
|
||||
Kurtosis: 22.684 Cond. No. 1.03
|
||||
==============================================================================
|
||||
|
||||
Notes:
|
||||
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
|
||||
+25
@@ -0,0 +1,25 @@
|
||||
OLS Regression Results
|
||||
=================================================================================
|
||||
Dep. Variable: number O(n+1)-replies R-squared: 0.077
|
||||
Model: OLS Adj. R-squared: 0.077
|
||||
Method: Least Squares F-statistic: 4.005e+05
|
||||
Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
|
||||
Time: 09:31:42 Log-Likelihood: -8.5881e+06
|
||||
No. Observations: 4786218 AIC: 1.718e+07
|
||||
Df Residuals: 4786216 BIC: 1.718e+07
|
||||
Df Model: 1
|
||||
Covariance Type: nonrobust
|
||||
==============================================================================
|
||||
coef std err t P>|t| [0.025 0.975]
|
||||
------------------------------------------------------------------------------
|
||||
const 1.4225 0.001 1845.132 0.000 1.421 1.424
|
||||
valence -1.3913 0.002 -632.878 0.000 -1.396 -1.387
|
||||
==============================================================================
|
||||
Omnibus: 2883084.941 Durbin-Watson: 1.828
|
||||
Prob(Omnibus): 0.000 Jarque-Bera (JB): 98618092.392
|
||||
Skew: 2.349 Prob(JB): 0.00
|
||||
Kurtosis: 24.736 Cond. No. 3.42
|
||||
==============================================================================
|
||||
|
||||
Notes:
|
||||
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
|
||||
+26
@@ -0,0 +1,26 @@
|
||||
OLS Regression Results
|
||||
=================================================================================
|
||||
Dep. Variable: number O(n+1)-replies R-squared: 0.199
|
||||
Model: OLS Adj. R-squared: 0.199
|
||||
Method: Least Squares F-statistic: 5.941e+05
|
||||
Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
|
||||
Time: 09:31:47 Log-Likelihood: -8.2498e+06
|
||||
No. Observations: 4786218 AIC: 1.650e+07
|
||||
Df Residuals: 4786215 BIC: 1.650e+07
|
||||
Df Model: 2
|
||||
Covariance Type: nonrobust
|
||||
==============================================================================
|
||||
coef std err t P>|t| [0.025 0.975]
|
||||
------------------------------------------------------------------------------
|
||||
const 1.1760 0.001 1897.046 0.000 1.175 1.177
|
||||
valence -0.3745 0.001 -601.728 0.000 -0.376 -0.373
|
||||
totalvotes 0.5306 0.001 852.573 0.000 0.529 0.532
|
||||
==============================================================================
|
||||
Omnibus: 2293481.647 Durbin-Watson: 1.752
|
||||
Prob(Omnibus): 0.000 Jarque-Bera (JB): 63398255.054
|
||||
Skew: 1.739 Prob(JB): 0.00
|
||||
Kurtosis: 20.487 Cond. No. 1.09
|
||||
==============================================================================
|
||||
|
||||
Notes:
|
||||
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
|
||||
@@ -0,0 +1,26 @@
|
||||
OLS Regression Results
|
||||
=================================================================================
|
||||
Dep. Variable: number O(n+1)-replies R-squared: 0.229
|
||||
Model: OLS Adj. R-squared: 0.229
|
||||
Method: Least Squares F-statistic: 7.096e+05
|
||||
Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
|
||||
Time: 09:31:44 Log-Likelihood: -8.1590e+06
|
||||
No. Observations: 4786218 AIC: 1.632e+07
|
||||
Df Residuals: 4786215 BIC: 1.632e+07
|
||||
Df Model: 2
|
||||
Covariance Type: nonrobust
|
||||
===================================================================================================
|
||||
coef std err t P>|t| [0.025 0.975]
|
||||
---------------------------------------------------------------------------------------------------
|
||||
const 1.1760 0.001 1933.368 0.000 1.175 1.177
|
||||
bayes-corrected (q=0.5) valence -0.4582 0.001 -749.070 0.000 -0.459 -0.457
|
||||
totalvotes 0.5147 0.001 841.341 0.000 0.513 0.516
|
||||
==============================================================================
|
||||
Omnibus: 2271398.527 Durbin-Watson: 1.760
|
||||
Prob(Omnibus): 0.000 Jarque-Bera (JB): 63503192.358
|
||||
Skew: 1.712 Prob(JB): 0.00
|
||||
Kurtosis: 20.513 Cond. No. 1.11
|
||||
==============================================================================
|
||||
|
||||
Notes:
|
||||
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
|
||||
@@ -0,0 +1,26 @@
|
||||
OLS Regression Results
|
||||
=================================================================================
|
||||
Dep. Variable: number O(n+1)-replies R-squared: 0.236
|
||||
Model: OLS Adj. R-squared: 0.236
|
||||
Method: Least Squares F-statistic: 7.380e+05
|
||||
Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
|
||||
Time: 09:31:45 Log-Likelihood: -8.1372e+06
|
||||
No. Observations: 4786218 AIC: 1.627e+07
|
||||
Df Residuals: 4786215 BIC: 1.627e+07
|
||||
Df Model: 2
|
||||
Covariance Type: nonrobust
|
||||
====================================================================================================
|
||||
coef std err t P>|t| [0.025 0.975]
|
||||
----------------------------------------------------------------------------------------------------
|
||||
const 1.1760 0.001 1942.187 0.000 1.175 1.177
|
||||
bayes-corrected (q=0.75) valence -0.4762 0.001 -781.029 0.000 -0.477 -0.475
|
||||
totalvotes 0.5081 0.001 833.387 0.000 0.507 0.509
|
||||
==============================================================================
|
||||
Omnibus: 2256599.632 Durbin-Watson: 1.761
|
||||
Prob(Omnibus): 0.000 Jarque-Bera (JB): 62251699.550
|
||||
Skew: 1.700 Prob(JB): 0.00
|
||||
Kurtosis: 20.338 Cond. No. 1.12
|
||||
==============================================================================
|
||||
|
||||
Notes:
|
||||
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
|
||||
@@ -0,0 +1,26 @@
|
||||
OLS Regression Results
|
||||
=================================================================================
|
||||
Dep. Variable: number O(n+1)-replies R-squared: 0.237
|
||||
Model: OLS Adj. R-squared: 0.237
|
||||
Method: Least Squares F-statistic: 1.380e+05
|
||||
Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
|
||||
Time: 09:31:48 Log-Likelihood: -1.5539e+06
|
||||
No. Observations: 890221 AIC: 3.108e+06
|
||||
Df Residuals: 890218 BIC: 3.108e+06
|
||||
Df Model: 2
|
||||
Covariance Type: nonrobust
|
||||
====================================================================================================
|
||||
coef std err t P>|t| [0.025 0.975]
|
||||
----------------------------------------------------------------------------------------------------
|
||||
const 1.1789 0.001 802.397 0.000 1.176 1.182
|
||||
bayes-corrected (q=0.25) valence -0.4979 0.001 -337.303 0.000 -0.501 -0.495
|
||||
totalvotes 0.5435 0.001 368.179 0.000 0.541 0.546
|
||||
==============================================================================
|
||||
Omnibus: 415616.007 Durbin-Watson: 1.775
|
||||
Prob(Omnibus): 0.000 Jarque-Bera (JB): 8567668.092
|
||||
Skew: 1.765 Prob(JB): 0.00
|
||||
Kurtosis: 17.782 Cond. No. 1.10
|
||||
==============================================================================
|
||||
|
||||
Notes:
|
||||
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
|
||||
@@ -0,0 +1,26 @@
|
||||
OLS Regression Results
|
||||
=================================================================================
|
||||
Dep. Variable: number O(n+1)-replies R-squared: 0.243
|
||||
Model: OLS Adj. R-squared: 0.243
|
||||
Method: Least Squares F-statistic: 3.781e+04
|
||||
Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
|
||||
Time: 09:31:48 Log-Likelihood: -3.6290e+05
|
||||
No. Observations: 235911 AIC: 7.258e+05
|
||||
Df Residuals: 235908 BIC: 7.258e+05
|
||||
Df Model: 2
|
||||
Covariance Type: nonrobust
|
||||
====================================================================================================
|
||||
coef std err t P>|t| [0.025 0.975]
|
||||
----------------------------------------------------------------------------------------------------
|
||||
const 0.9173 0.002 395.396 0.000 0.913 0.922
|
||||
bayes-corrected (q=0.25) valence -0.3334 0.002 -142.771 0.000 -0.338 -0.329
|
||||
totalvotes 0.5075 0.002 217.346 0.000 0.503 0.512
|
||||
==============================================================================
|
||||
Omnibus: 99947.806 Durbin-Watson: 1.805
|
||||
Prob(Omnibus): 0.000 Jarque-Bera (JB): 886847.368
|
||||
Skew: 1.813 Prob(JB): 0.00
|
||||
Kurtosis: 11.779 Cond. No. 1.12
|
||||
==============================================================================
|
||||
|
||||
Notes:
|
||||
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
|
||||
@@ -0,0 +1,26 @@
|
||||
OLS Regression Results
|
||||
=================================================================================
|
||||
Dep. Variable: number O(n+1)-replies R-squared: 0.196
|
||||
Model: OLS Adj. R-squared: 0.196
|
||||
Method: Least Squares F-statistic: 7.576e+04
|
||||
Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
|
||||
Time: 09:31:48 Log-Likelihood: -1.0058e+06
|
||||
No. Observations: 620776 AIC: 2.012e+06
|
||||
Df Residuals: 620773 BIC: 2.012e+06
|
||||
Df Model: 2
|
||||
Covariance Type: nonrobust
|
||||
====================================================================================================
|
||||
coef std err t P>|t| [0.025 0.975]
|
||||
----------------------------------------------------------------------------------------------------
|
||||
const 1.1396 0.002 734.230 0.000 1.137 1.143
|
||||
bayes-corrected (q=0.25) valence -0.3478 0.002 -223.518 0.000 -0.351 -0.345
|
||||
totalvotes 0.4695 0.002 301.664 0.000 0.466 0.473
|
||||
==============================================================================
|
||||
Omnibus: 202475.900 Durbin-Watson: 1.799
|
||||
Prob(Omnibus): 0.000 Jarque-Bera (JB): 1088427.374
|
||||
Skew: 1.479 Prob(JB): 0.00
|
||||
Kurtosis: 8.773 Cond. No. 1.08
|
||||
==============================================================================
|
||||
|
||||
Notes:
|
||||
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
|
||||
@@ -0,0 +1,26 @@
|
||||
OLS Regression Results
|
||||
=================================================================================
|
||||
Dep. Variable: number O(n+1)-replies R-squared: 0.257
|
||||
Model: OLS Adj. R-squared: 0.257
|
||||
Method: Least Squares F-statistic: 8576.
|
||||
Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
|
||||
Time: 09:31:48 Log-Likelihood: -86794.
|
||||
No. Observations: 49462 AIC: 1.736e+05
|
||||
Df Residuals: 49459 BIC: 1.736e+05
|
||||
Df Model: 2
|
||||
Covariance Type: nonrobust
|
||||
====================================================================================================
|
||||
coef std err t P>|t| [0.025 0.975]
|
||||
----------------------------------------------------------------------------------------------------
|
||||
const 1.3371 0.006 212.544 0.000 1.325 1.349
|
||||
bayes-corrected (q=0.25) valence -0.4685 0.006 -73.917 0.000 -0.481 -0.456
|
||||
totalvotes 0.6228 0.006 98.259 0.000 0.610 0.635
|
||||
==============================================================================
|
||||
Omnibus: 17663.533 Durbin-Watson: 1.771
|
||||
Prob(Omnibus): 0.000 Jarque-Bera (JB): 106942.347
|
||||
Skew: 1.595 Prob(JB): 0.00
|
||||
Kurtosis: 9.459 Cond. No. 1.13
|
||||
==============================================================================
|
||||
|
||||
Notes:
|
||||
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
|
||||
@@ -0,0 +1,26 @@
|
||||
OLS Regression Results
|
||||
=================================================================================
|
||||
Dep. Variable: number O(n+1)-replies R-squared: 0.256
|
||||
Model: OLS Adj. R-squared: 0.256
|
||||
Method: Least Squares F-statistic: 2.267e+04
|
||||
Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
|
||||
Time: 09:31:48 Log-Likelihood: -2.1421e+05
|
||||
No. Observations: 131977 AIC: 4.284e+05
|
||||
Df Residuals: 131974 BIC: 4.284e+05
|
||||
Df Model: 2
|
||||
Covariance Type: nonrobust
|
||||
====================================================================================================
|
||||
coef std err t P>|t| [0.025 0.975]
|
||||
----------------------------------------------------------------------------------------------------
|
||||
const 1.0804 0.003 320.014 0.000 1.074 1.087
|
||||
bayes-corrected (q=0.25) valence -0.4040 0.003 -118.355 0.000 -0.411 -0.397
|
||||
totalvotes 0.5375 0.003 157.450 0.000 0.531 0.544
|
||||
==============================================================================
|
||||
Omnibus: 54168.298 Durbin-Watson: 1.825
|
||||
Prob(Omnibus): 0.000 Jarque-Bera (JB): 590918.640
|
||||
Skew: 1.674 Prob(JB): 0.00
|
||||
Kurtosis: 12.811 Cond. No. 1.16
|
||||
==============================================================================
|
||||
|
||||
Notes:
|
||||
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
|
||||
@@ -0,0 +1,26 @@
|
||||
OLS Regression Results
|
||||
=================================================================================
|
||||
Dep. Variable: number O(n+1)-replies R-squared: 0.246
|
||||
Model: OLS Adj. R-squared: 0.246
|
||||
Method: Least Squares F-statistic: 7.921e+04
|
||||
Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
|
||||
Time: 09:31:48 Log-Likelihood: -8.1045e+05
|
||||
No. Observations: 485006 AIC: 1.621e+06
|
||||
Df Residuals: 485003 BIC: 1.621e+06
|
||||
Df Model: 2
|
||||
Covariance Type: nonrobust
|
||||
====================================================================================================
|
||||
coef std err t P>|t| [0.025 0.975]
|
||||
----------------------------------------------------------------------------------------------------
|
||||
const 1.1141 0.002 602.981 0.000 1.110 1.118
|
||||
bayes-corrected (q=0.25) valence -0.4406 0.002 -237.533 0.000 -0.444 -0.437
|
||||
totalvotes 0.5508 0.002 296.904 0.000 0.547 0.554
|
||||
==============================================================================
|
||||
Omnibus: 308614.044 Durbin-Watson: 1.795
|
||||
Prob(Omnibus): 0.000 Jarque-Bera (JB): 33388300.741
|
||||
Skew: 2.187 Prob(JB): 0.00
|
||||
Kurtosis: 43.411 Cond. No. 1.09
|
||||
==============================================================================
|
||||
|
||||
Notes:
|
||||
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
|
||||
@@ -0,0 +1,26 @@
|
||||
OLS Regression Results
|
||||
=================================================================================
|
||||
Dep. Variable: number O(n+1)-replies R-squared: 0.198
|
||||
Model: OLS Adj. R-squared: 0.198
|
||||
Method: Least Squares F-statistic: 1.449e+04
|
||||
Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
|
||||
Time: 09:31:48 Log-Likelihood: -1.9705e+05
|
||||
No. Observations: 117051 AIC: 3.941e+05
|
||||
Df Residuals: 117048 BIC: 3.941e+05
|
||||
Df Model: 2
|
||||
Covariance Type: nonrobust
|
||||
====================================================================================================
|
||||
coef std err t P>|t| [0.025 0.975]
|
||||
----------------------------------------------------------------------------------------------------
|
||||
const 1.3476 0.004 353.887 0.000 1.340 1.355
|
||||
bayes-corrected (q=0.25) valence -0.3144 0.004 -80.973 0.000 -0.322 -0.307
|
||||
totalvotes 0.5090 0.004 131.111 0.000 0.501 0.517
|
||||
==============================================================================
|
||||
Omnibus: 32287.766 Durbin-Watson: 1.796
|
||||
Prob(Omnibus): 0.000 Jarque-Bera (JB): 111823.546
|
||||
Skew: 1.377 Prob(JB): 0.00
|
||||
Kurtosis: 6.917 Cond. No. 1.22
|
||||
==============================================================================
|
||||
|
||||
Notes:
|
||||
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
|
||||
@@ -0,0 +1,26 @@
|
||||
OLS Regression Results
|
||||
=================================================================================
|
||||
Dep. Variable: number O(n+1)-replies R-squared: 0.209
|
||||
Model: OLS Adj. R-squared: 0.209
|
||||
Method: Least Squares F-statistic: 1.708e+05
|
||||
Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
|
||||
Time: 09:31:48 Log-Likelihood: -2.1743e+06
|
||||
No. Observations: 1295105 AIC: 4.349e+06
|
||||
Df Residuals: 1295102 BIC: 4.349e+06
|
||||
Df Model: 2
|
||||
Covariance Type: nonrobust
|
||||
====================================================================================================
|
||||
coef std err t P>|t| [0.025 0.975]
|
||||
----------------------------------------------------------------------------------------------------
|
||||
const 1.1182 0.001 981.264 0.000 1.116 1.120
|
||||
bayes-corrected (q=0.25) valence -0.3909 0.001 -341.822 0.000 -0.393 -0.389
|
||||
totalvotes 0.5079 0.001 444.124 0.000 0.506 0.510
|
||||
==============================================================================
|
||||
Omnibus: 680589.819 Durbin-Watson: 1.782
|
||||
Prob(Omnibus): 0.000 Jarque-Bera (JB): 49094495.451
|
||||
Skew: 1.699 Prob(JB): 0.00
|
||||
Kurtosis: 32.971 Cond. No. 1.09
|
||||
==============================================================================
|
||||
|
||||
Notes:
|
||||
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
|
||||
@@ -0,0 +1,26 @@
|
||||
OLS Regression Results
|
||||
=================================================================================
|
||||
Dep. Variable: number O(n+1)-replies R-squared: 0.253
|
||||
Model: OLS Adj. R-squared: 0.253
|
||||
Method: Least Squares F-statistic: 9.746e+04
|
||||
Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
|
||||
Time: 09:31:48 Log-Likelihood: -1.0810e+06
|
||||
No. Observations: 575190 AIC: 2.162e+06
|
||||
Df Residuals: 575187 BIC: 2.162e+06
|
||||
Df Model: 2
|
||||
Covariance Type: nonrobust
|
||||
====================================================================================================
|
||||
coef std err t P>|t| [0.025 0.975]
|
||||
----------------------------------------------------------------------------------------------------
|
||||
const 1.6458 0.002 787.663 0.000 1.642 1.650
|
||||
bayes-corrected (q=0.25) valence -0.3951 0.002 -184.289 0.000 -0.399 -0.391
|
||||
totalvotes 0.7495 0.002 349.574 0.000 0.745 0.754
|
||||
==============================================================================
|
||||
Omnibus: 194870.309 Durbin-Watson: 1.765
|
||||
Prob(Omnibus): 0.000 Jarque-Bera (JB): 1100608.449
|
||||
Skew: 1.527 Prob(JB): 0.00
|
||||
Kurtosis: 9.050 Cond. No. 1.26
|
||||
==============================================================================
|
||||
|
||||
Notes:
|
||||
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
|
||||
@@ -0,0 +1,26 @@
|
||||
OLS Regression Results
|
||||
=================================================================================
|
||||
Dep. Variable: number O(n+1)-replies R-squared: 0.256
|
||||
Model: OLS Adj. R-squared: 0.256
|
||||
Method: Least Squares F-statistic: 3.965e+04
|
||||
Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
|
||||
Time: 09:31:48 Log-Likelihood: -3.4768e+05
|
||||
No. Observations: 230524 AIC: 6.954e+05
|
||||
Df Residuals: 230521 BIC: 6.954e+05
|
||||
Df Model: 2
|
||||
Covariance Type: nonrobust
|
||||
====================================================================================================
|
||||
coef std err t P>|t| [0.025 0.975]
|
||||
----------------------------------------------------------------------------------------------------
|
||||
const 0.8891 0.002 390.420 0.000 0.885 0.894
|
||||
bayes-corrected (q=0.25) valence -0.3918 0.002 -171.548 0.000 -0.396 -0.387
|
||||
totalvotes 0.4784 0.002 209.473 0.000 0.474 0.483
|
||||
==============================================================================
|
||||
Omnibus: 109314.794 Durbin-Watson: 1.837
|
||||
Prob(Omnibus): 0.000 Jarque-Bera (JB): 1540320.347
|
||||
Skew: 1.926 Prob(JB): 0.00
|
||||
Kurtosis: 15.063 Cond. No. 1.08
|
||||
==============================================================================
|
||||
|
||||
Notes:
|
||||
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
|
||||
@@ -0,0 +1,6 @@
|
||||
,total_count,totalvotes_nonzero,totalvotes_sum,totalvotes_mean,totalvotes_std_dev,upvotes_sum,downvotes_sum,bayes-corrected (q=0.25) valence_mean,bayes-corrected (q=0.25) valence_std_dev,bayes-corrected (q=0.25) extremity_mean,bayes-corrected (q=0.25) extremity_std_dev
|
||||
Total,20161317,14706588,154821490,7.679135742967585,11.556761173578584,102022297,52799193,0.17704715667464238,0.2021943857837279,0.3158469490984941,0.11041613015478122
|
||||
0,6069971,4786218,77964965,12.84437190886085,15.885943210670801,50729878,27235087,0.17395713322300024,0.2242844895596835,0.3081309024315796,0.11996477068190904
|
||||
1,6755090,5050120,46320518,6.857128180379536,9.434159387282262,31970589,14349929,0.19288237536756858,0.19202605012773946,0.3198901628191536,0.10879194365502998
|
||||
2,3786555,2608297,18126241,4.787000584964433,7.119372189759389,11414766,6711475,0.16402235924006153,0.19272989539907023,0.31758620689084427,0.10383240571773994
|
||||
3,3549701,2261953,12409766,3.496003184493567,5.5015115601260955,7907064,4502702,0.16325036748997546,0.1823236133759817,0.3211412527772316,0.09881505843280065
|
||||
|
@@ -0,0 +1,28 @@
|
||||
,total_count,number O(n+1)-replies_sum,number O(n+1)-replies_nonzero,totalvotes_nonzero,totalvotes_sum,upvotes_sum,downvotes_sum,valence_mean,valence_std_dev,bayes-corrected (q=0.25) valence_mean,bayes-corrected (q=0.25) valence_std_dev,extremity_mean,extremity_std_dev,bayes-corrected (q=0.25) extremity_mean,bayes-corrected (q=0.25) extremity_std_dev
|
||||
Total,20161317,14091458,7495456,14706588,154821490,102022297,52799193,0.1809732449640069,0.3221017025345512,0.17704715667464238,0.2021943857837279,0.3263665242005636,0.17316382137734357,0.3158469490984941,0.11041613015478122
|
||||
Backstage,2638,1309,916,2091,19339,14013,5326,0.23396256608765395,0.306585082923225,0.21223527077342733,0.18627809433377085,0.34578357774960666,0.1706915190446471,0.3284342540070973,0.10947346803113846
|
||||
Career,125360,84283,47627,94139,991285,688567,302718,0.23144672748128672,0.31736287806178626,0.207642429386839,0.20352379529383485,0.3562556537779823,0.165432505887087,0.33650872389557185,0.10619423486404499
|
||||
Community,2546,1519,921,1691,10943,7543,3400,0.22997949625046876,0.31967854887735475,0.200451242569652,0.17131680735740445,0.35250476788410146,0.17545113771119852,0.3275935830615364,0.09841736341890532
|
||||
Culture,783764,492965,283683,594634,7485201,4965916,2519285,0.18924208094858397,0.31430902283965584,0.18237701691103533,0.2075772292325427,0.3257271885165046,0.16883248354886274,0.3165073708092221,0.11183033084670414
|
||||
Economy,2532709,1753030,981305,1832061,15418671,10477493,4941178,0.19695589659717094,0.3200608942654652,0.1874348176320727,0.18779895991104745,0.33178431101377187,0.17649287038142622,0.3182130588344701,0.10772151446952792
|
||||
Family,49628,31670,18194,38744,504399,350538,153861,0.2207067677046886,0.3014587355657185,0.2041527930238584,0.2020069369216948,0.33366309594582666,0.1680957128606617,0.32246786364599994,0.11428810172513852
|
||||
Fitness,3010,2211,1182,2183,22484,14215,8269,0.15967373329129744,0.30431877346003455,0.1619996073865862,0.1864234078141263,0.29418798473390506,0.17756989413975396,0.29151785340526726,0.1149792183614986
|
||||
Foreign affairs,3677268,2544425,1330773,2734274,33483913,22653979,10829934,0.2002575026917707,0.325382737606063,0.1904666416894296,0.21644036248740706,0.34356756409069306,0.16714752082493223,0.32992358948836636,0.1107027200883534
|
||||
Health,232501,170195,87992,169188,1861800,1220143,641657,0.18424450969159725,0.32460476601354893,0.17814240568123157,0.20780662621629975,0.3319043469304209,0.17074351373987692,0.3200033262093227,0.10944699632311113
|
||||
History,72480,47028,26802,56445,679183,472071,207112,0.22095860634303593,0.31534867450645176,0.2039420491794974,0.2117808348179994,0.3471692447301984,0.1665525064085087,0.3331839376145845,0.11121773599665685
|
||||
International,1778,661,443,1021,5800,3874,1926,0.19351189270788866,0.3781743471452822,0.18492958397224973,0.194320028301713,0.3900060650559993,0.16806412167150314,0.3495507394881325,0.08766877038980984
|
||||
Internet,498610,333659,186807,367308,3674903,2466723,1208180,0.2091647658832731,0.3286639549837689,0.19303117978437134,0.2079459094850678,0.3515812393300087,0.16781033736005121,0.3332794356286173,0.10537720414529439
|
||||
Miscellaneous,1962726,1352139,729325,1449191,17475106,11899133,5575973,0.20487949983503603,0.32223613216900404,0.1930421103534628,0.21138823123717118,0.3434851196383367,0.16682222414119258,0.3292431100186108,0.10905631859394622
|
||||
Mobility,554408,415352,219481,421827,3502371,2196167,1306204,0.16054863670067138,0.31191065777214666,0.1618961069183528,0.18002270627566236,0.30120556091206946,0.1798309742036998,0.2958943291943663,0.10998330012774073
|
||||
Politics,5116347,3451139,1901059,3675657,39155173,25667532,13487641,0.17444454738877926,0.3163335278430911,0.17315213087529358,0.19604468474970993,0.31674249710795505,0.17370081307098184,0.3084535160005122,0.11058794557807118
|
||||
Psychology,77714,49836,28755,59103,731898,505589,226309,0.20632700233260906,0.31154092970651803,0.1944627043194951,0.20658764113640296,0.3333799252712208,0.1687757327928834,0.3224848844257549,0.1127179346512217
|
||||
Relationships,8131,4828,2914,6585,117075,86625,30450,0.24777040590992844,0.29358367752069375,0.22795252407820465,0.21253014623413818,0.34813759810576583,0.1623966700762943,0.33698553182471686,0.11775078466218207
|
||||
Science,3525557,2774136,1307843,2480281,21660444,12904848,8755596,0.13124914209737715,0.3254561015718625,0.14358107029299916,0.1929315922045766,0.30217351871367176,0.17843527137661813,0.29726966358820944,0.10920227830101752
|
||||
Services,15,6,4,13,70,49,21,0.11337188452573069,0.33244948852144557,0.16113358674678163,0.17243290163606495,0.2928590640129101,0.17757621269031232,0.3027156286778409,0.09718850862453934
|
||||
Sports,742645,458996,266832,573957,6603661,4457164,2146497,0.19390481300491805,0.324823993978004,0.1866839749335055,0.21488052454498108,0.3392841168420786,0.1673196240006354,0.3276705379187469,0.1093840089279375
|
||||
Start,59059,38288,22794,45209,446297,312161,134136,0.23012121622760803,0.3130036249047111,0.20696856220124274,0.20060384009293042,0.35070753025975687,0.16712187857191027,0.33303728389868575,0.10782854662594989
|
||||
Style,30611,17243,10890,24054,237133,168395,68738,0.24331081020636638,0.3088338815884642,0.2153432930645136,0.20011272670414704,0.35698752853489446,0.1647288201407465,0.3384781050249686,0.10535514942392003
|
||||
Tests,14585,8163,5413,11604,99542,73441,26101,0.27363177574221587,0.2996883510847475,0.23290915494157782,0.1893771434271009,0.37215267353257064,0.1618158234175073,0.3471946880707655,0.10229356775332507
|
||||
Total,2638,2185,922,1915,17354,9336,8018,0.0677696797423411,0.3072866586840947,0.10190539473940045,0.18182325609165528,0.2587321299251362,0.17900538958637705,0.266230689221851,0.11332285476209328
|
||||
Travel,84136,55950,32431,63101,614135,404586,209549,0.19389251358743367,0.31251346847520517,0.18297252866496708,0.19464504647573025,0.32412318682777963,0.1737874145135004,0.3130547750304372,0.1114047246370484
|
||||
Your SPIEGEL,453,242,148,312,3310,2196,1114,0.18208463027330246,0.2940537652828505,0.17712455278668807,0.1727453899902895,0.29483491204446555,0.1803382964418267,0.29333866069487885,0.10993924168770208
|
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Reference in New Issue
Block a user