MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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How do I find the level of significance?

Dep. Variable: total_wins R-squared: Adj. R-squared: F-statistic: 0.228 Model: OLS 0.227 Method: Least Squares Sat, 27 Feb 2021 182.1 Prob (F-statistic): Log-Likelihood: Date: 1.52e-36 Time: 18:10:54 -2385.4 No. Observations: 618 AIC: 4775. Df Residuals: 616 BIC: 4784. Df Model: 1 Covariance Type: nonrobust coef std err 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 Durbin-Watson: 1.768 Prob(Omnibus): Jarque-Bera (JB): Prob(JB): 0.000 11.089 Skew: -0.033 0.00391 Kurtosis: 2.347 Cond. No. 1.97e+03
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Transcribed Image Text:Dep. Variable: total_wins R-squared: Adj. R-squared: F-statistic: 0.228 Model: OLS 0.227 Method: Least Squares Sat, 27 Feb 2021 182.1 Prob (F-statistic): Log-Likelihood: Date: 1.52e-36 Time: 18:10:54 -2385.4 No. Observations: 618 AIC: 4775. Df Residuals: 616 BIC: 4784. Df Model: 1 Covariance Type: nonrobust coef std err 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 Durbin-Watson: 1.768 Prob(Omnibus): Jarque-Bera (JB): Prob(JB): 0.000 11.089 Skew: -0.033 0.00391 Kurtosis: 2.347 Cond. No. 1.97e+03
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