A00-240 Real Exam Questions

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?

Screening for non-linearity in binary logistic regression can be achieved by visualizing:

What is the difference between the datasets OUTFILE1 and OUTFILE_2?

What does the Pearson product moment correlation coefficient measure?

The following LOGISTIC procedure output analyzes the relationship between a binary response and an ordinal predictor variable, wrist_size Using reference cell coding, the analyst selects Large (L) as the reference level. Analysis of Maximum Likelihood Estimates Parameter DF Estimate Standard Error Wald Chi-Square Pr > ChiSq intercept 1 -1.0415 0.4749 4.8101 0.0283 wrist_size M 1 1.1234 0.4969 5.0697 0.0243 wrist_size S 1 1.6078 0.5478 8.6133 0.0033 What is the estimated logit for a person with large wrist size? Click the calculator button to display a calculator if needed.