                              OLS Regression Results                             
=================================================================================
Dep. Variable:     number O(n+1)-replies   R-squared:                       0.246
Model:                               OLS   Adj. R-squared:                  0.246
Method:                    Least Squares   F-statistic:                 7.921e+04
Date:                   Mon, 22 Jul 2024   Prob (F-statistic):               0.00
Time:                           09:31:48   Log-Likelihood:            -8.1045e+05
No. Observations:                 485006   AIC:                         1.621e+06
Df Residuals:                     485003   BIC:                         1.621e+06
Df Model:                              2                                         
Covariance Type:               nonrobust                                         
====================================================================================================
                                       coef    std err          t      P>|t|      [0.025      0.975]
----------------------------------------------------------------------------------------------------
const                                1.1141      0.002    602.981      0.000       1.110       1.118
bayes-corrected (q=0.25) valence    -0.4406      0.002   -237.533      0.000      -0.444      -0.437
totalvotes                           0.5508      0.002    296.904      0.000       0.547       0.554
==============================================================================
Omnibus:                   308614.044   Durbin-Watson:                   1.795
Prob(Omnibus):                  0.000   Jarque-Bera (JB):         33388300.741
Skew:                           2.187   Prob(JB):                         0.00
Kurtosis:                      43.411   Cond. No.                         1.09
==============================================================================

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