                              OLS Regression Results                             
=================================================================================
Dep. Variable:     number O(n+1)-replies   R-squared:                       0.256
Model:                               OLS   Adj. R-squared:                  0.256
Method:                    Least Squares   F-statistic:                 3.965e+04
Date:                   Mon, 22 Jul 2024   Prob (F-statistic):               0.00
Time:                           09:31:48   Log-Likelihood:            -3.4768e+05
No. Observations:                 230524   AIC:                         6.954e+05
Df Residuals:                     230521   BIC:                         6.954e+05
Df Model:                              2                                         
Covariance Type:               nonrobust                                         
====================================================================================================
                                       coef    std err          t      P>|t|      [0.025      0.975]
----------------------------------------------------------------------------------------------------
const                                0.8891      0.002    390.420      0.000       0.885       0.894
bayes-corrected (q=0.25) valence    -0.3918      0.002   -171.548      0.000      -0.396      -0.387
totalvotes                           0.4784      0.002    209.473      0.000       0.474       0.483
==============================================================================
Omnibus:                   109314.794   Durbin-Watson:                   1.837
Prob(Omnibus):                  0.000   Jarque-Bera (JB):          1540320.347
Skew:                           1.926   Prob(JB):                         0.00
Kurtosis:                      15.063   Cond. No.                         1.08
==============================================================================

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