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: 0.246
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Model: OLS Adj. R-squared: 0.246
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Method: Least Squares F-statistic: 7.921e+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: -8.1045e+05
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No. Observations: 485006 AIC: 1.621e+06
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Df Residuals: 485003 BIC: 1.621e+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 1.1141 0.002 602.981 0.000 1.110 1.118
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bayes-corrected (q=0.25) valence -0.4406 0.002 -237.533 0.000 -0.444 -0.437
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totalvotes 0.5508 0.002 296.904 0.000 0.547 0.554
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==============================================================================
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Omnibus: 308614.044 Durbin-Watson: 1.795
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Prob(Omnibus): 0.000 Jarque-Bera (JB): 33388300.741
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Skew: 2.187 Prob(JB): 0.00
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Kurtosis: 43.411 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. |