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Examine this SAS data set including the variable labels and attributes.

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Suppose that you have mortgage application data from a national bank with five branches in California contained in the SAS data set called LOANAPP. The Board of Directors would like an executive summary to assess their fixed-rate, home loan applicants with a comparison of the five branches. They are particularly concerned about loans that have less than 5% on the down payment. Variables in this data set include the identification information for the applicant, credit score, loan information, home price, and the down payment as a percentage of the sales price.

a. Examine this SAS data set including the variable labels and attributes. Create a table that provides information about the number and percent of loan approvals within each branch for loans with less than 5% down. Be sure to format and label variables so that they are presentation-ready in the output.

b. Create a table that calculates the count, mean loan amount, mean home price, and median credit score, by branch for all approved loans. Format the loan and price data to include dollar signs, commas, and decimal places, and format the count and credit score to be whole numbers. Center justify all values in the data cells of the table.

c. For your tables in parts a) and b) create a main title with a larger font to explain the contents of the table and a second title with a slightly smaller font to explain the subsetting of the data.

d. Send the output to an ODS destination that creates output that managers can open in Microsoft Word. The tables should appear in separate columns on the same page.

 

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