Concept explainers
a.
Explain whether car is a useful predictor variable, based on the mpg versus
b.
Conduct t-tests for the individual utility of the two predictor variables,
Interpret the results.
c.
Find the individual regression equations relating mpg to
d.
Perform a residual analysis to assess the assumptions of linearity, constancy of conditional standard deviations, and normality of the conditional distributions, using Outputs B.49 (a)-(d).
Check whether there are outliers and influential observations.
e.
Explain whether the residual analysis in part d, along with the plot in Output B.50 reveal any violations of the assumptions for regression inferences.
f.
Identify whether an interaction between
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