                              OLS Regression Results                             
=================================================================================
Dep. Variable:     number O(n+1)-replies   R-squared:                       0.243
Model:                               OLS   Adj. R-squared:                  0.243
Method:                    Least Squares   F-statistic:                 3.781e+04
Date:                   Mon, 22 Jul 2024   Prob (F-statistic):               0.00
Time:                           09:31:48   Log-Likelihood:            -3.6290e+05
No. Observations:                 235911   AIC:                         7.258e+05
Df Residuals:                     235908   BIC:                         7.258e+05
Df Model:                              2                                         
Covariance Type:               nonrobust                                         
====================================================================================================
                                       coef    std err          t      P>|t|      [0.025      0.975]
----------------------------------------------------------------------------------------------------
const                                0.9173      0.002    395.396      0.000       0.913       0.922
bayes-corrected (q=0.25) valence    -0.3334      0.002   -142.771      0.000      -0.338      -0.329
totalvotes                           0.5075      0.002    217.346      0.000       0.503       0.512
==============================================================================
Omnibus:                    99947.806   Durbin-Watson:                   1.805
Prob(Omnibus):                  0.000   Jarque-Bera (JB):           886847.368
Skew:                           1.813   Prob(JB):                         0.00
Kurtosis:                      11.779   Cond. No.                         1.12
==============================================================================

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