Utilizing test information on 43 vehicles, an examiner fitted a relapse to foresee CityMPG (miles per gallon in city driving) utilizing as indicators (length of vehicle in inches), (width of vehicle in inches), and (weight of vehicle in pounds).

(1a) Referring to the Fstatistic and its p-value, what do you finish up about the general attack of this model?

The regression is

based on the Fcalc and p-value

(1b) Do you see proof that a few indicators were pointless? (You may select more than one answer. Single click the box with the question mark to produce a check mark for a correct answer and double click the box with the question mark to empty the box for a wrong answer.)

• Length
• Width
• Weight

n R2 Adjusted R2 R Std. Error 0.682 0.658 0.826 2.558 k k Dep. Var. 43 3 3 CityMPG ANOVA table Source SS df MS F F p-value 8.35E- 10 Regression 547.3722 3 182.4574 27.90 Residual 39 6.5408 255.0929 802.4651 42 VIF Regression output variables Intercept Length (in) Width (in) Weight (lbs) Coefficients 39.4492 -0.0016 -0.0463 -0.0043 Std. Error 8.1678 0.0454 0.1373 0.0008 t Stat 4.830 -0.035 -0.337 -5.166 p-Value 0.0000 0.9725 0.7379 0.0000 confidence interval Lower 95% Upper 95% 22.9283 55.9701 -0.0934 0.0902 -0.3239 0.2314 -0.0060 -0.0026 2.669 2.552 2.836