As the example in the chapter indicates, one of the important factors determining a car's Fuel Efficiency is its Weight. Let's examine this relationship again, for 11 cars.

a) Describe the association between these variables shown in the scatterplot.

b) Here is the regression analysis for the linear model. What does the slope of the line say about this relationship?
Dependent variable is: Fuel Efficiency
R-squared = 85.9%
Variable Coefficient
Intercept ...............................  47.9636
Weight ...............................    -7.65184
c) Do you think this linear model is appropriate? Use the residuals plot to explain your decision.

Transcribed Image Text:

32 28 24 d 20 82 20 2.5 3.0 3.5 Weight (1000 Ib) 3.0 0.0 운-1.5+ 20 24 28 32 Predicted (mpg)