Question: Use the backward elimination procedure to find the best model to describe miles per gallon for the data in Table 10. Use a level of

Use the backward elimination procedure to find the best model to describe miles per gallon for the data in Table 10. Use a level of significance of $\alpha=0.05$ as the criteria for an explanatory variable to be removed from the model.

Approach Again, we will use Minitab to find the least-squares regression models.

Table 10 Sport Utility Vehicle Curb Weight (pounds) Engine Size (liters) Cylinders

Table 10 Sport Utility Vehicle Curb Weight (pounds) Engine Size (liters) Cylinders Final Drive Ratio (:1) Ground Clearance Miles per (inches) Gallon Mercedes-Benz G500 5510 5.0 8 4.38 8.3 13 Jeep Wrangler X 3760 3.8 6 3.21 8.8 16 Mitsubishi Endeavor LS 2WD 3902 3.8 6 4.01 8.3 18 Toyota Land Cruiser 5690 5.7 8 3.911 8.9 15 Kia Sorento 4 2 4068 3.3 6 3.33 8.2 18 Jeep Commander Sport 4x2 4649 4.7 8 3.73 8.6 15 Dodge Durango SLT 4 2 4709 4.7 8 3.55 8.7 15 Lincoln Navigator 4 2 5555 5.4 8 3.73 9.2 15 Chevrolet Tahoe LS 2WD 5265 4.8 8 3.23 9.1 16 Ford Escape FWD 3387 3.0 6 2.93 8.5 20 Ford Expedition XLT 5578 5.4 8 3.31 8.7 14 Buick Enclave CX FWD 4780 3.6 6 3.16 8.4 19 Cadillac Escalade 2WD 5459 6.2 8 3.42 9.0 14 Hummer H3 SUV 4689 3.7 S 4.56 9.1 15 Saab 9-7X 4720 4.2 6 3.73 7.7 16

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First find the leastsquares regression model using all the explanatory variables See Figure 33 The Pvalue for the Ftest statistic is very low at 0009 ... View full answer

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