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: 0.196
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Model: OLS Adj. R-squared: 0.196
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Method: Least Squares F-statistic: 7.576e+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: -1.0058e+06
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No. Observations: 620776 AIC: 2.012e+06
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Df Residuals: 620773 BIC: 2.012e+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 1.1396 0.002 734.230 0.000 1.137 1.143
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bayes-corrected (q=0.25) valence -0.3478 0.002 -223.518 0.000 -0.351 -0.345
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totalvotes 0.4695 0.002 301.664 0.000 0.466 0.473
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==============================================================================
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Omnibus: 202475.900 Durbin-Watson: 1.799
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Prob(Omnibus): 0.000 Jarque-Bera (JB): 1088427.374
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Skew: 1.479 Prob(JB): 0.00
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Kurtosis: 8.773 Cond. No. 1.08
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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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