26 lines
2.0 KiB
Plaintext
26 lines
2.0 KiB
Plaintext
OLS Regression Results
|
|
=================================================================================
|
|
Dep. Variable: number O(n+1)-replies R-squared: 0.256
|
|
Model: OLS Adj. R-squared: 0.256
|
|
Method: Least Squares F-statistic: 3.965e+04
|
|
Date: Mon, 22 Jul 2024 Prob (F-statistic): 0.00
|
|
Time: 09:31:48 Log-Likelihood: -3.4768e+05
|
|
No. Observations: 230524 AIC: 6.954e+05
|
|
Df Residuals: 230521 BIC: 6.954e+05
|
|
Df Model: 2
|
|
Covariance Type: nonrobust
|
|
====================================================================================================
|
|
coef std err t P>|t| [0.025 0.975]
|
|
----------------------------------------------------------------------------------------------------
|
|
const 0.8891 0.002 390.420 0.000 0.885 0.894
|
|
bayes-corrected (q=0.25) valence -0.3918 0.002 -171.548 0.000 -0.396 -0.387
|
|
totalvotes 0.4784 0.002 209.473 0.000 0.474 0.483
|
|
==============================================================================
|
|
Omnibus: 109314.794 Durbin-Watson: 1.837
|
|
Prob(Omnibus): 0.000 Jarque-Bera (JB): 1540320.347
|
|
Skew: 1.926 Prob(JB): 0.00
|
|
Kurtosis: 15.063 Cond. No. 1.08
|
|
==============================================================================
|
|
|
|
Notes:
|
|
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified. |