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: 0.253
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Model: OLS Adj. R-squared: 0.253
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Method: Least Squares F-statistic: 9.746e+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: -1.0810e+06
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No. Observations: 575190 AIC: 2.162e+06
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Df Residuals: 575187 BIC: 2.162e+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 1.6458 0.002 787.663 0.000 1.642 1.650
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bayes-corrected (q=0.25) valence -0.3951 0.002 -184.289 0.000 -0.399 -0.391
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totalvotes 0.7495 0.002 349.574 0.000 0.745 0.754
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==============================================================================
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Omnibus: 194870.309 Durbin-Watson: 1.765
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Prob(Omnibus): 0.000 Jarque-Bera (JB): 1100608.449
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Skew: 1.527 Prob(JB): 0.00
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Kurtosis: 9.050 Cond. No. 1.26
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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. |