In Problem 3.6 a regression model was developed for the gasoline mileage data using the regressor vehicle

Question:

In Problem 3.6 a regression model was developed for the gasoline mileage data using the regressor vehicle length \(x_{8}\) and vehicle weight \(x_{10}\). Calculate the PRESS statistic for this model. What conclusions can you draw about the potential performance of this model as a predictor?


Data From Problem 3.6

In Problem 2.4 you were asked to compute a $95 %$ CI on mean gasoline prediction interval on mileage when the engine displacement $x_{1}=275$ in. $^{3}$ Compare the lengths of these intervals to the lengths of the confidence and prediction intervals from Problem 3.5 above. Does this tell you anything about the benefits of adding $x_{6}$ to the model?

Data From Problem 2.4

Table B. 3 presents data on the gasoline mileage performance of 32 different automobiles.

image text in transcribed

Step by Step Answer:

Related Book For  book-img-for-question

Introduction To Linear Regression Analysis

ISBN: 9781119578727

6th Edition

Authors: Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining

Question Posted: