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: 0.256
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Model: OLS Adj. R-squared: 0.256
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Method: Least Squares F-statistic: 3.965e+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: -3.4768e+05
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No. Observations: 230524 AIC: 6.954e+05
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Df Residuals: 230521 BIC: 6.954e+05
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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 0.8891 0.002 390.420 0.000 0.885 0.894
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bayes-corrected (q=0.25) valence -0.3918 0.002 -171.548 0.000 -0.396 -0.387
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totalvotes 0.4784 0.002 209.473 0.000 0.474 0.483
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==============================================================================
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Omnibus: 109314.794 Durbin-Watson: 1.837
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Prob(Omnibus): 0.000 Jarque-Bera (JB): 1540320.347
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Skew: 1.926 Prob(JB): 0.00
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Kurtosis: 15.063 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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