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mpg wt hp mpg 1.000000 -0.841528 -0.750955 wt -0. 841528 1.090000 0.623330 hp -0.750955 0.623330 1.090900MPG against Horsepower 35 30 25 MPG 20 15 10
mpg wt hp mpg 1.000000 -0.841528 -0.750955 wt -0. 841528 1.090000 0.623330 hp -0.750955 0.623330 1.090900MPG against Horsepower 35 30 25 MPG 20 15 10 50 100 150 200 250 300 Horsepower\fOLS Regression Results Dep. Variable: mpg R- squared : 0.792 Model : OLS Adj. R-squared : 8.777 Method: Least Squares F-statistic: 51.40 Date: Fri, 05 Aug 2022 Prob (F-statistic) : 6.22e-10 Time : 03: 05 :45 Log-Likelihood : -70.457 No. Observations : 30 AIC : 146.9 Of Residuals: 27 BIC: 151.1 Of Model : 2 Covariance Type: nonrobust coef std err t P> t [0. 025 0.975] Intercept 37 .2458 1.876 19.851 0.000 33.396 41 . 096 wt -3.9414 0. 724 -5.441 0.600 -5.428 -2 .455 hp -0. 0310 0.009 -3.299 0.003 -0.050 -0. 012 === Omnibus : 5.729 Durbin-Watson: 1.999 Prob (Omnibus ) : 0.057 Jarque-Bera (JB) : 4.443 Skew: 0.930 Prob (JB) : 0.108 Kurtosis : 3.314 Cond. No. 651
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