                              OLS Regression Results                             
=================================================================================
Dep. Variable:     number O(n+1)-replies   R-squared:                       0.257
Model:                               OLS   Adj. R-squared:                  0.257
Method:                    Least Squares   F-statistic:                     8576.
Date:                   Mon, 22 Jul 2024   Prob (F-statistic):               0.00
Time:                           09:31:48   Log-Likelihood:                -86794.
No. Observations:                  49462   AIC:                         1.736e+05
Df Residuals:                      49459   BIC:                         1.736e+05
Df Model:                              2                                         
Covariance Type:               nonrobust                                         
====================================================================================================
                                       coef    std err          t      P>|t|      [0.025      0.975]
----------------------------------------------------------------------------------------------------
const                                1.3371      0.006    212.544      0.000       1.325       1.349
bayes-corrected (q=0.25) valence    -0.4685      0.006    -73.917      0.000      -0.481      -0.456
totalvotes                           0.6228      0.006     98.259      0.000       0.610       0.635
==============================================================================
Omnibus:                    17663.533   Durbin-Watson:                   1.771
Prob(Omnibus):                  0.000   Jarque-Bera (JB):           106942.347
Skew:                           1.595   Prob(JB):                         0.00
Kurtosis:                       9.459   Cond. No.                         1.13
==============================================================================

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