If a car weighs 4000 lb, what is the single value that is the best predicted amount of highway fuel consumption? (Assume that there is a linear correlation between weight and highway fuel consumption.)

Refer to the Minitab display obtained by using the paired data consisting of weights (in lb) of 32 cars and their highway fuel consumption amounts (in mi gal), as listed in Data Set 16 in Appendix B. Along with the paired sample data, Minitab was also given a car weight of 4000 lb to be used for predicting the highway fuel consumption amount.

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MINITAB The regression equation is Highway 50.5 0.00587 Weight Predictor Constant Weight Coef 50.502 T P 17.66 0.000 -0.0058685 0.0007859 -7.47 0.000 -2.19498 R-Sq 65.0% R-Sq (adj) 63.9% Neu Obs SE Coef 2.860 Predicted Values for Neu Observations Fit SE Fit 1 27.028 0.497 95% CI 95% PI (26.013, 28.042) (22.431, 31.624) Values of Predictors for New Observations Ne v Obs Weight 1 4000