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: 0.198
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Model: OLS Adj. R-squared: 0.198
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Method: Least Squares F-statistic: 1.449e+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: -1.9705e+05
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No. Observations: 117051 AIC: 3.941e+05
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Df Residuals: 117048 BIC: 3.941e+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 1.3476 0.004 353.887 0.000 1.340 1.355
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bayes-corrected (q=0.25) valence -0.3144 0.004 -80.973 0.000 -0.322 -0.307
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totalvotes 0.5090 0.004 131.111 0.000 0.501 0.517
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==============================================================================
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Omnibus: 32287.766 Durbin-Watson: 1.796
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Prob(Omnibus): 0.000 Jarque-Bera (JB): 111823.546
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Skew: 1.377 Prob(JB): 0.00
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Kurtosis: 6.917 Cond. No. 1.22
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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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