                              OLS Regression Results                             
=================================================================================
Dep. Variable:     number O(n+1)-replies   R-squared:                       0.253
Model:                               OLS   Adj. R-squared:                  0.253
Method:                    Least Squares   F-statistic:                 9.746e+04
Date:                   Mon, 22 Jul 2024   Prob (F-statistic):               0.00
Time:                           09:31:48   Log-Likelihood:            -1.0810e+06
No. Observations:                 575190   AIC:                         2.162e+06
Df Residuals:                     575187   BIC:                         2.162e+06
Df Model:                              2                                         
Covariance Type:               nonrobust                                         
====================================================================================================
                                       coef    std err          t      P>|t|      [0.025      0.975]
----------------------------------------------------------------------------------------------------
const                                1.6458      0.002    787.663      0.000       1.642       1.650
bayes-corrected (q=0.25) valence    -0.3951      0.002   -184.289      0.000      -0.399      -0.391
totalvotes                           0.7495      0.002    349.574      0.000       0.745       0.754
==============================================================================
Omnibus:                   194870.309   Durbin-Watson:                   1.765
Prob(Omnibus):                  0.000   Jarque-Bera (JB):          1100608.449
Skew:                           1.527   Prob(JB):                         0.00
Kurtosis:                       9.050   Cond. No.                         1.26
==============================================================================

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