Problem 4. Use the 'Baseball Salary Data' again (and with salary as the response) to do the following: (a) Use the command 'leaps ' in the R package \"leaps\" along with the strategy discussed in class to choose a good subset of the 16 predictors to include in a linear model with \"salary\" as the response (and not its logarithm). Describe fully the rationale you use in choosing your model. (Note: A help le on the \"leaps\" package, as well as the R function ' leaps .AIC ' (used to compute the AIC and BIG values for the best subset models of each size returned by 'leaps'), are available under R Codes and Instructions in eCampus. Feel free to use these resources for part (a) above.)