26 lines
1.9 KiB
Plaintext
26 lines
1.9 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: 0.194
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Model: OLS Adj. R-squared: 0.194
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Method: Least Squares F-statistic: 7.311e+05
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Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
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Time: 09:31:51 Log-Likelihood: -1.0415e+07
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No. Observations: 6069971 AIC: 2.083e+07
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Df Residuals: 6069968 BIC: 2.083e+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 1.1129 0.001 2037.629 0.000 1.112 1.114
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upvotes 0.0893 0.001 162.278 0.000 0.088 0.090
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downvotes 0.6433 0.001 1168.654 0.000 0.642 0.644
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==============================================================================
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Omnibus: 3179849.625 Durbin-Watson: 1.812
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Prob(Omnibus): 0.000 Jarque-Bera (JB): 138815450.026
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Skew: 1.836 Prob(JB): 0.00
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Kurtosis: 26.138 Cond. No. 1.13
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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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