Question: Write the multiple regression equation for miles per gallon as the response variable. Use weight and horsepower as predictor variables. See Step 5 in the

  1. Write the multiple regression equation for miles per gallon as the response variable. Use weight and horsepower as predictor variables. See Step 5 in the Python script. How might the car rental company use this model?

 OLS Regression Results

==============================================================================

Dep. Variable:mpgR-squared:0.840

Model:OLSAdj. R-squared:0.828

Method:Least SquaresF-statistic:70.64

Date:Tue, 06 Oct 2020Prob (F-statistic):1.87e-11

Time:21:43:59Log-Likelihood:-69.404

No. Observations:30AIC:144.8

Df Residuals:27BIC:149.0

Df Model:2

Covariance Type:nonrobust

==============================================================================

coefstd errtP>|t|[0.0250.975]

------------------------------------------------------------------------------

Intercept37.61811.61823.2570.00034.29940.937

wt-3.87090.634-6.1020.000-5.173-2.569

hp-0.03340.009-3.6840.001-0.052-0.015

==============================================================================

Omnibus:4.325Durbin-Watson:2.598

Prob(Omnibus):0.115Jarque-Bera (JB):3.132

Skew:0.782Prob(JB):0.209

Kurtosis:3.246Cond. No.588.

==============================================================================

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