                              OLS Regression Results                             
=================================================================================
Dep. Variable:     number O(n+1)-replies   R-squared:                       0.236
Model:                               OLS   Adj. R-squared:                  0.236
Method:                    Least Squares   F-statistic:                 7.380e+05
Date:                   Mon, 22 Jul 2024   Prob (F-statistic):               0.00
Time:                           09:31:45   Log-Likelihood:            -8.1372e+06
No. Observations:                4786218   AIC:                         1.627e+07
Df Residuals:                    4786215   BIC:                         1.627e+07
Df Model:                              2                                         
Covariance Type:               nonrobust                                         
====================================================================================================
                                       coef    std err          t      P>|t|      [0.025      0.975]
----------------------------------------------------------------------------------------------------
const                                1.1760      0.001   1942.187      0.000       1.175       1.177
bayes-corrected (q=0.75) valence    -0.4762      0.001   -781.029      0.000      -0.477      -0.475
totalvotes                           0.5081      0.001    833.387      0.000       0.507       0.509
==============================================================================
Omnibus:                  2256599.632   Durbin-Watson:                   1.761
Prob(Omnibus):                  0.000   Jarque-Bera (JB):         62251699.550
Skew:                           1.700   Prob(JB):                         0.00
Kurtosis:                      20.338   Cond. No.                         1.12
==============================================================================

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