Provide the summary statistic as well as histograms for the variables balance and income for the whole dataset. Explain some of the key characteristics of the dataset.

Using conditional statements on the variables default and student, provide the summary statistics (as well as histograms) for the variables balance and income for the different combinations of groups. That is, (1) default = Yes and student = Yes; (2) default = Yes, student = No; (3) default = No, student = Yes; and (4) default = No, student =No. Explain some of the key characteristics of the dataset.

Using the variable default as the response variable, fit a decision tree model with the predictor variables student, balance, and income. Comment on the output. Which variable(s) is significant? How good is the model prediction?

Lets assume a credit card applicant is a student with a balance of $2000 and an income of $1850. How likely will he/she default according to the fitted decision tree model? Explain based on the SAS output.

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