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: 0.209
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Model: OLS Adj. R-squared: 0.209
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Method: Least Squares F-statistic: 1.708e+05
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Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
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Time: 09:31:48 Log-Likelihood: -2.1743e+06
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No. Observations: 1295105 AIC: 4.349e+06
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Df Residuals: 1295102 BIC: 4.349e+06
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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 1.1182 0.001 981.264 0.000 1.116 1.120
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bayes-corrected (q=0.25) valence -0.3909 0.001 -341.822 0.000 -0.393 -0.389
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totalvotes 0.5079 0.001 444.124 0.000 0.506 0.510
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==============================================================================
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Omnibus: 680589.819 Durbin-Watson: 1.782
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Prob(Omnibus): 0.000 Jarque-Bera (JB): 49094495.451
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Skew: 1.699 Prob(JB): 0.00
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Kurtosis: 32.971 Cond. No. 1.09
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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. |