                              OLS Regression Results                             
=================================================================================
Dep. Variable:     number O(n+1)-replies   R-squared:                       0.237
Model:                               OLS   Adj. R-squared:                  0.237
Method:                    Least Squares   F-statistic:                 1.380e+05
Date:                   Mon, 22 Jul 2024   Prob (F-statistic):               0.00
Time:                           09:31:48   Log-Likelihood:            -1.5539e+06
No. Observations:                 890221   AIC:                         3.108e+06
Df Residuals:                     890218   BIC:                         3.108e+06
Df Model:                              2                                         
Covariance Type:               nonrobust                                         
====================================================================================================
                                       coef    std err          t      P>|t|      [0.025      0.975]
----------------------------------------------------------------------------------------------------
const                                1.1789      0.001    802.397      0.000       1.176       1.182
bayes-corrected (q=0.25) valence    -0.4979      0.001   -337.303      0.000      -0.501      -0.495
totalvotes                           0.5435      0.001    368.179      0.000       0.541       0.546
==============================================================================
Omnibus:                   415616.007   Durbin-Watson:                   1.775
Prob(Omnibus):                  0.000   Jarque-Bera (JB):          8567668.092
Skew:                           1.765   Prob(JB):                         0.00
Kurtosis:                      17.782   Cond. No.                         1.10
==============================================================================

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