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B webassignnet B . .1. BUSN 40001Home... Finance 2: A lending organization has acquired data on a sample of recent customers and is interested in building a model to predict whether or not a given customer will default on a loan. The available data are contained in the worksheet "Default" and the variables are dened as follows. Default: Coded as "Yes" if the customer defaulted on the loan and "No" otherwise. Student: Whether or not the customer is currently a student (coded Yes/No) Balance: The average balance carried by the customer in hundreds of USD. Income: The income of the customer in ten thousands of USD. Fit the proper regression model to predict whether or not a customer will default on a loan. Fit the model so that the event being modeled is "Yes". Furthermore, code the variable Student so that "No" serves as the reference group. Finally, it is hypothesized that income has a curvilinear relationship with the likelihood of being in default. Therefore, t a second-order polynomial model in terms of the variable Income to test this theory. (a) Complete the following statement (Enter your first answer as a whole number and the percent rounded to two decimal places). Out of a total of n = 500 customers in the sample, 11.80 V % were in default. (b) State the model equation. )7 = o+1(5tudent)+2(BaIance)+3(Income)+4LN(Income) )7 = o+1(Student)+2(BaIance)+3(1ncome)+[i4(1ncame2) 1 P\" = Defau't) = 1+e(po+1(Student)+2(Balance)+3(1ncome)) f/ = o+1(Student)+2(BaIance)+3 (Income) 1 1 +e(130+1(Student)+1(Balance)+3(1ncome)+4LN(Income)) P(Y= Default) = 1 1 +e(no+1(student)+z(Balance)+ [13(Income)+ 4(lncome2)) V o P(Y= Default) = (c) Test the t of the overall model. Use a 1% significance level. State the hypotheses to be tested. |-.....,.,,a,a,,. R h webassign.net + Skirts | Satin, Linen.. Cotton Essentials T... 2022 Recruitment A... a Amazon.com : book.. Shop Women's Clot.. Condensed Recurit.. BUSN 4000: Home. Course Hero TOt Teject 70 1 p - Reject Ho if p