26 lines
2.0 KiB
Plaintext
26 lines
2.0 KiB
Plaintext
OLS Regression Results
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=================================================================================
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Dep. Variable: number O(n+1)-replies R-squared: 0.243
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Model: OLS Adj. R-squared: 0.243
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Method: Least Squares F-statistic: 3.781e+04
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Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
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Time: 09:31:48 Log-Likelihood: -3.6290e+05
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No. Observations: 235911 AIC: 7.258e+05
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Df Residuals: 235908 BIC: 7.258e+05
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Df Model: 2
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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 0.9173 0.002 395.396 0.000 0.913 0.922
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bayes-corrected (q=0.25) valence -0.3334 0.002 -142.771 0.000 -0.338 -0.329
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totalvotes 0.5075 0.002 217.346 0.000 0.503 0.512
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==============================================================================
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Omnibus: 99947.806 Durbin-Watson: 1.805
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Prob(Omnibus): 0.000 Jarque-Bera (JB): 886847.368
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Skew: 1.813 Prob(JB): 0.00
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Kurtosis: 11.779 Cond. No. 1.12
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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. |