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linear_regression_summary.txt
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OLS Regression Results
==============================================================================
Dep. Variable: fighter_longevity R-squared: -inf
Model: OLS Adj. R-squared: -inf
Method: Least Squares F-statistic: -4105.
Date: Sat, 20 Apr 2024 Prob (F-statistic): 1.00
Time: 18:46:28 Log-Likelihood: 1.2731e+05
No. Observations: 4107 AIC: -2.546e+05
Df Residuals: 4105 BIC: -2.546e+05
Df Model: 1
Covariance Type: nonrobust
===============================================================================
coef std err t P>|t| [0.025 0.975]
-------------------------------------------------------------------------------
fight_count 1.0000 1.61e-16 6.21e+15 0.000 1.000 1.000
knockdowns 1.659e-16 7.39e-17 2.246 0.025 2.11e-17 3.11e-16
==============================================================================
Omnibus: 3368.642 Durbin-Watson: 0.002
Prob(Omnibus): 0.000 Jarque-Bera (JB): 87665.400
Skew: -3.835 Prob(JB): 0.00
Kurtosis: 24.295 Cond. No. 2.92
==============================================================================
Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.