                              OLS Regression Results                             
=================================================================================
Dep. Variable:     number O(n+1)-replies   R-squared:                       0.136
Model:                               OLS   Adj. R-squared:                  0.136
Method:                    Least Squares   F-statistic:                 3.982e+05
Date:                   Mon, 22 Jul 2024   Prob (F-statistic):               0.00
Time:                           09:31:50   Log-Likelihood:            -6.2998e+06
No. Observations:                5050120   AIC:                         1.260e+07
Df Residuals:                    5050117   BIC:                         1.260e+07
Df Model:                              2                                         
Covariance Type:               nonrobust                                         
====================================================================================================
                                       coef    std err          t      P>|t|      [0.025      0.975]
----------------------------------------------------------------------------------------------------
const                                0.6133      0.000   1636.095      0.000       0.613       0.614
bayes-corrected (q=0.25) valence    -0.2055      0.000   -548.027      0.000      -0.206      -0.205
totalvotes                           0.2575      0.000    686.512      0.000       0.257       0.258
==============================================================================
Omnibus:                  2832727.339   Durbin-Watson:                   1.864
Prob(Omnibus):                  0.000   Jarque-Bera (JB):         85433368.019
Skew:                           2.153   Prob(JB):                         0.00
Kurtosis:                      22.684   Cond. No.                         1.03
==============================================================================

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