OLS Regression Results Dep. Variable: avg elo n R- squared : 0.823 Model : OLS Adj. R- squared: 0.823 Method : Least Squares F-statistic: 2865. Date : Fri, 14 Oct 2022 Prob (F-statistic) : 8. 06e-234 Time : 21:39:08 Log-Likelihood : - 3222.7 No. Observations : 618 AIC : 6449. Of Residuals: 616 BIC : 6458. Df Model : 1 Covariance Type: nonrobust =E SEE coef std err t P> t [0. 025 0.975 Intercept 1207. 2925 5.756 209.760 0.000 1195.990 1218.595 total wins 7.3438 0. 137 53.523 0.000 7.074 7.613 Omnibus : 138.038 Durbin-Watson : 1.301 Prob (Omnibus ) : 0.000 Jarque -Bera (JB) : 343. 065 Skew : 1. 141 Prob ( JB) : 3. 19e-75 Kurtosis: 5.849 Cond. No. 135