Consider the daily closing IBM stock prices (data set ibmclose ). a. Produce some plots of the data in order to become familiar with it. b. Split the data into a training set of 300 observations and a...

Consider the daily closing IBM stock prices (data set ibmclose ).

a. Produce some plots of the data in order to become familiar with it.

b. Split the data into a training set of 300 observations and a test set of 69 observations.

c. Try using various benchmark methods to forecast the training set and

compare the results on the test set. Which method did best?

d. Check the residuals of your preferred method. Do they resemble white noise?