Dep. Variable: total_wins R-squared : Adj. R-squared: F-statistic: 0.228 Model: OLS Least Squares Sat, 27 Feb 2021 0.227 Method: 182.1 1.52e-36 Prob (F-statistic): Log-Likelihood: AIC: Date: Time: 18:10:54 -2385.4 No. Observations: 618 4775. Df Residuals: 616 BIC: 4784. Df Model: Covariance Type: nonrobust coef std err t P>|t| [0.025 0.975] Intercept avg_pts -85.5476 9.305 -9.194 0.000 -103.820 -67.275 1.2849 0.095 13.495 0.000 1.098 1.472 Omnibus: 24.401 0.000 Durbin-Watson: 1.768 Prob(Omnibus): Skew: Jarque-Bera (JB): Prob(JB): Cond. No. 11.089 -0.033 0.00391 Kurtosis: 2.347 1.97e+03
Dep. Variable: total_wins R-squared : Adj. R-squared: F-statistic: 0.228 Model: OLS Least Squares Sat, 27 Feb 2021 0.227 Method: 182.1 1.52e-36 Prob (F-statistic): Log-Likelihood: AIC: Date: Time: 18:10:54 -2385.4 No. Observations: 618 4775. Df Residuals: 616 BIC: 4784. Df Model: Covariance Type: nonrobust coef std err t P>|t| [0.025 0.975] Intercept avg_pts -85.5476 9.305 -9.194 0.000 -103.820 -67.275 1.2849 0.095 13.495 0.000 1.098 1.472 Omnibus: 24.401 0.000 Durbin-Watson: 1.768 Prob(Omnibus): Skew: Jarque-Bera (JB): Prob(JB): Cond. No. 11.089 -0.033 0.00391 Kurtosis: 2.347 1.97e+03
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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