                              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:                 2.267e+04
Date:                   Mon, 22 Jul 2024   Prob (F-statistic):               0.00
Time:                           09:31:48   Log-Likelihood:            -2.1421e+05
No. Observations:                 131977   AIC:                         4.284e+05
Df Residuals:                     131974   BIC:                         4.284e+05
Df Model:                              2                                         
Covariance Type:               nonrobust                                         
====================================================================================================
                                       coef    std err          t      P>|t|      [0.025      0.975]
----------------------------------------------------------------------------------------------------
const                                1.0804      0.003    320.014      0.000       1.074       1.087
bayes-corrected (q=0.25) valence    -0.4040      0.003   -118.355      0.000      -0.411      -0.397
totalvotes                           0.5375      0.003    157.450      0.000       0.531       0.544
==============================================================================
Omnibus:                    54168.298   Durbin-Watson:                   1.825
Prob(Omnibus):                  0.000   Jarque-Bera (JB):           590918.640
Skew:                           1.674   Prob(JB):                         0.00
Kurtosis:                      12.811   Cond. No.                         1.16
==============================================================================

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