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: 0.257
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Model: OLS Adj. R-squared: 0.257
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Method: Least Squares F-statistic: 8576.
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Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
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Time: 09:31:48 Log-Likelihood: -86794.
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No. Observations: 49462 AIC: 1.736e+05
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Df Residuals: 49459 BIC: 1.736e+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 1.3371 0.006 212.544 0.000 1.325 1.349
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bayes-corrected (q=0.25) valence -0.4685 0.006 -73.917 0.000 -0.481 -0.456
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totalvotes 0.6228 0.006 98.259 0.000 0.610 0.635
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==============================================================================
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Omnibus: 17663.533 Durbin-Watson: 1.771
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Prob(Omnibus): 0.000 Jarque-Bera (JB): 106942.347
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Skew: 1.595 Prob(JB): 0.00
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Kurtosis: 9.459 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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