                              OLS Regression Results                             
=================================================================================
Dep. Variable:     number O(n+1)-replies   R-squared:                       0.198
Model:                               OLS   Adj. R-squared:                  0.198
Method:                    Least Squares   F-statistic:                 1.449e+04
Date:                   Mon, 22 Jul 2024   Prob (F-statistic):               0.00
Time:                           09:31:48   Log-Likelihood:            -1.9705e+05
No. Observations:                 117051   AIC:                         3.941e+05
Df Residuals:                     117048   BIC:                         3.941e+05
Df Model:                              2                                         
Covariance Type:               nonrobust                                         
====================================================================================================
                                       coef    std err          t      P>|t|      [0.025      0.975]
----------------------------------------------------------------------------------------------------
const                                1.3476      0.004    353.887      0.000       1.340       1.355
bayes-corrected (q=0.25) valence    -0.3144      0.004    -80.973      0.000      -0.322      -0.307
totalvotes                           0.5090      0.004    131.111      0.000       0.501       0.517
==============================================================================
Omnibus:                    32287.766   Durbin-Watson:                   1.796
Prob(Omnibus):                  0.000   Jarque-Bera (JB):           111823.546
Skew:                           1.377   Prob(JB):                         0.00
Kurtosis:                       6.917   Cond. No.                         1.22
==============================================================================

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