                              OLS Regression Results                             
=================================================================================
Dep. Variable:     number O(n+1)-replies   R-squared:                       0.209
Model:                               OLS   Adj. R-squared:                  0.209
Method:                    Least Squares   F-statistic:                 1.708e+05
Date:                   Mon, 22 Jul 2024   Prob (F-statistic):               0.00
Time:                           09:31:48   Log-Likelihood:            -2.1743e+06
No. Observations:                1295105   AIC:                         4.349e+06
Df Residuals:                    1295102   BIC:                         4.349e+06
Df Model:                              2                                         
Covariance Type:               nonrobust                                         
====================================================================================================
                                       coef    std err          t      P>|t|      [0.025      0.975]
----------------------------------------------------------------------------------------------------
const                                1.1182      0.001    981.264      0.000       1.116       1.120
bayes-corrected (q=0.25) valence    -0.3909      0.001   -341.822      0.000      -0.393      -0.389
totalvotes                           0.5079      0.001    444.124      0.000       0.506       0.510
==============================================================================
Omnibus:                   680589.819   Durbin-Watson:                   1.782
Prob(Omnibus):                  0.000   Jarque-Bera (JB):         49094495.451
Skew:                           1.699   Prob(JB):                         0.00
Kurtosis:                      32.971   Cond. No.                         1.09
==============================================================================

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