Based on credit score values, which set of loans should be compared to which other set of loans? e Decide the use of each attribute in the analysis. That is, how is each attribute relevant to the analysis? Scan the data values to find outliers or other situations at odds with assumptions embedded in the conversation. g Specify formulas/expressions for new attributes to be constructed from the attributes supplied in creditScore.xisx. h Use your responses from above to guide an analysis in a spreadsheet that compares the loan performance for the two cutoff points for the loans in the file (creditScore.xlsx). Use 9/1/2013 as the reporting date. Adapted from Borthick, A. F., G. P. Schneider, and T. R. Viscelli. 2017. Analyzing data for decision making: Integrating spreadsheet modeling and database querying. Issues in Accounting Education 32(1): 59-66. Copyright @ 2017 American Accounting Association, which gives permission for the use of this case in courses of study. February 6, 2019