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: 0.220
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Model: OLS Adj. R-squared: 0.220
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Method: Least Squares F-statistic: 6.744e+05
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Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
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Time: 09:31:43 Log-Likelihood: -8.1863e+06
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No. Observations: 4786218 AIC: 1.637e+07
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Df Residuals: 4786215 BIC: 1.637e+07
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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 1.1760 0.001 1922.382 0.000 1.175 1.177
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bayes-corrected (q=0.25) valence -0.4349 0.001 -707.468 0.000 -0.436 -0.434
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totalvotes 0.5207 0.001 847.067 0.000 0.520 0.522
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==============================================================================
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Omnibus: 2282674.662 Durbin-Watson: 1.758
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Prob(Omnibus): 0.000 Jarque-Bera (JB): 64040137.713
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Skew: 1.723 Prob(JB): 0.00
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Kurtosis: 20.586 Cond. No. 1.10
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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. |