                              OLS Regression Results                             
=================================================================================
Dep. Variable:     number O(n+1)-replies   R-squared:                       0.229
Model:                               OLS   Adj. R-squared:                  0.229
Method:                    Least Squares   F-statistic:                 7.096e+05
Date:                   Mon, 22 Jul 2024   Prob (F-statistic):               0.00
Time:                           09:31:44   Log-Likelihood:            -8.1590e+06
No. Observations:                4786218   AIC:                         1.632e+07
Df Residuals:                    4786215   BIC:                         1.632e+07
Df Model:                              2                                         
Covariance Type:               nonrobust                                         
===================================================================================================
                                      coef    std err          t      P>|t|      [0.025      0.975]
---------------------------------------------------------------------------------------------------
const                               1.1760      0.001   1933.368      0.000       1.175       1.177
bayes-corrected (q=0.5) valence    -0.4582      0.001   -749.070      0.000      -0.459      -0.457
totalvotes                          0.5147      0.001    841.341      0.000       0.513       0.516
==============================================================================
Omnibus:                  2271398.527   Durbin-Watson:                   1.760
Prob(Omnibus):                  0.000   Jarque-Bera (JB):         63503192.358
Skew:                           1.712   Prob(JB):                         0.00
Kurtosis:                      20.513   Cond. No.                         1.11
==============================================================================

Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.