Consider the gasoline mileage data in Table B.3. a. Fit a multiple linear regression model relatmg gasoline

Question:

Consider the gasoline mileage data in Table B.3.

image text in transcribed

a. Fit a multiple linear regression model relatmg gasoline mileage $y$ (miles per gallon) to engine displacement $x_{1}$ and the number of carburetor barrels $x_{6}$.

b. Construct the analysis-of-variance table and test for significance of regression.

c. Calculate $R^{2}$ and $R_{\text {Adj }}^{2}$ for this model. Compare this to the $R^{2}$ and the $R_{\text {Adj }}^{2}$ for the simple linear regression model relating mileage to engine displacement in Problem 2.4.

d. Find a $95 %$ CI for $\beta_{1}$.

e. Compute the $t$ statistics for testing $H_{0}$ : $\beta_{1}=0$ and $H_{0}$ : $\beta_{6}=0$. What conclusions can you draw?

f. Find a $95 %$ CI on the mean gasoline mileage when $x_{1}=275$ in. $^{3}$ and $x_{6}=2$ barrels.

g. Find a $95 %$ prediction interval for a new observation on gasoline mileage when $x_{1}=275$ in. ${ }^{3}$ and $x_{6}=2$ barrels.

Fantastic news! We've Found the answer you've been seeking!

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: