Elementary Statistics (12th Edition)

Published by Pearson
ISBN 10: 0321836960
ISBN 13: 978-0-32183-696-0

Chapter 10 - Correlation and Regression - 10-5 Multiple Regression - Basic Skills and Concepts - Page 549: 12



Work Step by Step

The adjusted $R^2$ values for the best 1 and best 2 predictors regression equation are really similar, hence it is reasonable to us the regression equation with only 1 predictor variable, hence: CITY=-3.15+0.89HWY. HWY=36, hence $CITY=-3.15+0.89HWY=-3.15+0.89\cdot 36=26.334.$ This is likely to be a good estimate because the P-value is really small, whereas the adjusted $R^2$ value is large.
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