This problem will consider the mtcars dataset in R studio. The
dependent variables is the fuel efficieny of a car in miles per
gallon (mpg). There are several independent variables to consider,
but for now we will only focus on the weight of the car recorded in
1000s of pounds (wt).
1. Remove the Chrysler Imperial from the dataset and refit the
linear regression model.
2. Comment on how the regression coefficients have changed.
3. What about the Chrysler Imperial might have accounted for
this change in model coefficients?
