                              OLS Regression Results                             
=================================================================================
Dep. Variable:     number O(n+1)-replies   R-squared:                       0.196
Model:                               OLS   Adj. R-squared:                  0.196
Method:                    Least Squares   F-statistic:                 7.576e+04
Date:                   Mon, 22 Jul 2024   Prob (F-statistic):               0.00
Time:                           09:31:48   Log-Likelihood:            -1.0058e+06
No. Observations:                 620776   AIC:                         2.012e+06
Df Residuals:                     620773   BIC:                         2.012e+06
Df Model:                              2                                         
Covariance Type:               nonrobust                                         
====================================================================================================
                                       coef    std err          t      P>|t|      [0.025      0.975]
----------------------------------------------------------------------------------------------------
const                                1.1396      0.002    734.230      0.000       1.137       1.143
bayes-corrected (q=0.25) valence    -0.3478      0.002   -223.518      0.000      -0.351      -0.345
totalvotes                           0.4695      0.002    301.664      0.000       0.466       0.473
==============================================================================
Omnibus:                   202475.900   Durbin-Watson:                   1.799
Prob(Omnibus):                  0.000   Jarque-Bera (JB):          1088427.374
Skew:                           1.479   Prob(JB):                         0.00
Kurtosis:                       8.773   Cond. No.                         1.08
==============================================================================

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