A00-240 Question #17: Real Exam Question with Answer & Explanation

This question will ask you to provide missing code segments. A logistic regression model was fit on a data set where 40% of the outcomes were events (TARGET=1) and 60% were non-events (TARGET=0). The analyst knows that the population where the model will be deployed has 5% events and 95% non-events. The analyst also knows that the company's profit margin for correctly targeted events is nine times higher than the company's loss for incorrectly targeted non-event. Given the following SAS program: proc logistic data = LOANS_descending; model Purch = Inc Edu; score data = LOANS_V$ out = LOANS_VS priorevent = (insert X here); run; data LOANS_VS; set LOANS_VS; Solicit = P_1 > (insert Y here); run; What X and Y values should be added to the program to correctly score the data?