26 lines
2.0 KiB
Plaintext
26 lines
2.0 KiB
Plaintext
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OLS Regression Results
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=================================================================================
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Dep. Variable: number O(n+1)-replies R-squared: 0.256
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Model: OLS Adj. R-squared: 0.256
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Method: Least Squares F-statistic: 2.267e+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: -2.1421e+05
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No. Observations: 131977 AIC: 4.284e+05
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Df Residuals: 131974 BIC: 4.284e+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 1.0804 0.003 320.014 0.000 1.074 1.087
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bayes-corrected (q=0.25) valence -0.4040 0.003 -118.355 0.000 -0.411 -0.397
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totalvotes 0.5375 0.003 157.450 0.000 0.531 0.544
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==============================================================================
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Omnibus: 54168.298 Durbin-Watson: 1.825
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Prob(Omnibus): 0.000 Jarque-Bera (JB): 590918.640
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Skew: 1.674 Prob(JB): 0.00
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Kurtosis: 12.811 Cond. No. 1.16
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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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