Question: Using test data on 43 vehicles, an analyst fitted a regression to predict CityMPG (miles per gallon in city driving) using as predictors Length (length

Using test data on 43 vehicles, an analyst fitted a regression to predict CityMPG (miles per gallon in city driving) using as predictors Length (length of car in inches), Width (width of car in inches), and Weight (weight of car in pounds). Interpret the results. Do you see evidence that some predictors were unhelpful?

0.682 Adjusted R 0.658 0.826 n 43 5 Std. E 2.58 Dep. Var CityMPG ANOVA table 547.372218 4574 7.90835E:10 MS Regression Residual Total 255.0929 39 8024651 42 6.5408 Regression output confidence interval variables coefficients std error t (df-39) p-value 95% lower 95% upper VIF Intercept 39.4492 Length (in)0.0016 0.04540.035 9725 -0.0934 0.0902 2.669 Width (in)0.0463 0.1373-0.337 7379 0.3239 0.2314 2.552 Weight (lbs)0.0043 0.0008 5.166 0 -0.00600.0026 2.836 8.16784.830 0000 22.9283 55.9701 2 2

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