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This problem uses the Wage dataset in ISLR package in R n this part of the...

This problem uses the Wage dataset in ISLR package in R

  1. n this part of the problem, we will find a polynomial function of age that best fits the wage data. For each polynomial function between p = 0, 1, 2, ...10:

    i. Fit a linear regression to predict wages as a function of age, age2, ... agep (you should include an intercept as well). Note that p = 0 model is an “intercept-only” model

    ii. Use 5-fold cross validation to estimate the test error for this model. Save both the test error and the training error.

    (c) Plot both the test error and training error (on the same plot) for each of the models estimated above as a function of p. What do you observe about the training error as p increases? What about the test error? Based on your results, which model should you select and why?

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