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: 0.136
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Model: OLS Adj. R-squared: 0.136
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Method: Least Squares F-statistic: 3.982e+05
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Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
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Time: 09:31:50 Log-Likelihood: -6.2998e+06
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No. Observations: 5050120 AIC: 1.260e+07
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Df Residuals: 5050117 BIC: 1.260e+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 0.6133 0.000 1636.095 0.000 0.613 0.614
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bayes-corrected (q=0.25) valence -0.2055 0.000 -548.027 0.000 -0.206 -0.205
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totalvotes 0.2575 0.000 686.512 0.000 0.257 0.258
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==============================================================================
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Omnibus: 2832727.339 Durbin-Watson: 1.864
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Prob(Omnibus): 0.000 Jarque-Bera (JB): 85433368.019
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Skew: 2.153 Prob(JB): 0.00
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Kurtosis: 22.684 Cond. No. 1.03
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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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