26 lines
2.0 KiB
Plaintext
26 lines
2.0 KiB
Plaintext
OLS Regression Results
|
|
=================================================================================
|
|
Dep. Variable: number O(n+1)-replies R-squared: 0.196
|
|
Model: OLS Adj. R-squared: 0.196
|
|
Method: Least Squares F-statistic: 7.576e+04
|
|
Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
|
|
Time: 09:31:48 Log-Likelihood: -1.0058e+06
|
|
No. Observations: 620776 AIC: 2.012e+06
|
|
Df Residuals: 620773 BIC: 2.012e+06
|
|
Df Model: 2
|
|
Covariance Type: nonrobust
|
|
====================================================================================================
|
|
coef std err t P>|t| [0.025 0.975]
|
|
----------------------------------------------------------------------------------------------------
|
|
const 1.1396 0.002 734.230 0.000 1.137 1.143
|
|
bayes-corrected (q=0.25) valence -0.3478 0.002 -223.518 0.000 -0.351 -0.345
|
|
totalvotes 0.4695 0.002 301.664 0.000 0.466 0.473
|
|
==============================================================================
|
|
Omnibus: 202475.900 Durbin-Watson: 1.799
|
|
Prob(Omnibus): 0.000 Jarque-Bera (JB): 1088427.374
|
|
Skew: 1.479 Prob(JB): 0.00
|
|
Kurtosis: 8.773 Cond. No. 1.08
|
|
==============================================================================
|
|
|
|
Notes:
|
|
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified. |