                              OLS Regression Results                             
=================================================================================
Dep. Variable:     number O(n+1)-replies   R-squared:                       0.077
Model:                               OLS   Adj. R-squared:                  0.077
Method:                    Least Squares   F-statistic:                 4.005e+05
Date:                   Mon, 22 Jul 2024   Prob (F-statistic):               0.00
Time:                           09:31:42   Log-Likelihood:            -8.5881e+06
No. Observations:                4786218   AIC:                         1.718e+07
Df Residuals:                    4786216   BIC:                         1.718e+07
Df Model:                              1                                         
Covariance Type:               nonrobust                                         
==============================================================================
                 coef    std err          t      P>|t|      [0.025      0.975]
------------------------------------------------------------------------------
const          1.4225      0.001   1845.132      0.000       1.421       1.424
valence       -1.3913      0.002   -632.878      0.000      -1.396      -1.387
==============================================================================
Omnibus:                  2883084.941   Durbin-Watson:                   1.828
Prob(Omnibus):                  0.000   Jarque-Bera (JB):         98618092.392
Skew:                           2.349   Prob(JB):                         0.00
Kurtosis:                      24.736   Cond. No.                         3.42
==============================================================================

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