Write the multiple regression equation for miles per gallon as the response variable. Use weight and horsepower as predictor variables. How might the car rental company use this model? OLS Regression Results======== ===== ======R-squared:Adj. R-squared:Dep. Variable:mpg0.831Model:OLS0.818Method:Least SquaresF-statistic:66.21Date:Sat, 04 Dec 2021Prob (F-statistic):3.88e-11Time:08:48:52Log-Likelihood:-67.378No. Observations:30AIC:140.8Df Residuals:27BIC:145.0Df Model:Covariance Type:nonrobust=====сoefstd errtP>|t|[0.0250.975]Intercept36.03681.55823.1310.00032.84039.234wt-3.64780.597-6.1090.000-4.873-2.423hp-0.03020.008-3.5570.001-0.048-0.013================================Omnibus:5.966Durbin-Watson:1.353Prob(Omnibus):0.0514.340Jarque-Bera (JB):Prob(JB):Skew:0.8760.114Kurtosis:3.632Cond. No.608.

A regression equation models the dependent relationship of two or more variables. It is a measure of the extent to which researchers can predict one variable from another, specifically how the dependent variable typically acts when one of the independent variables is changed.is the multiple regression equation with Mpg as outcome and weight, horsepower is input. We will use ordinary least square method to estimate slope a and intercept b,c. Now the car rental company has to enter weight and horsepower to predict mpg for that car.

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Write the multiple regression equation for miles per gallon as the response variable. Use weight and horsepower as predictor variables. How might the car rental company use this model?

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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