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:

What X and Y values should be added to the program to correctly score the data?

• A.X=.05, Y=.40
• B.X=.05, Y=10
• C.X=.10, Y=05
• D.X=40, Y=10

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An analyst knows that the categorical predictor, zip_code, is an important predictor of a binary target.
However, zip_code has too many levels to be a feasible predictor in a model. The analyst uses PROC CLUSTER to implement Greenacre's method to reduce the number of categorical levels.
What is the correct application of Greenacre's method in this situation?

• A.Clustering the levels using the number of cases in each zip_code as input.
• B.Clustering the levels using dummy coded zip_code levels as inputs.
• C.Clustering the levels using the target proportion for each zip_code as input.
• D.Clustering the levels using the zip_code values as input.

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Refer to the exhibit:

An analyst examined logistic regression models for predicting whether a customer would make a purchase.
The ROC curve displayed summarizes the models. Using the selected model and the analyst's decision rule,
25% of the customers who did not make a purchase are incorrectly classified as purchasers.
What can be concluded from the graph?

• A.About 25% of the customers who did make a purchase are correctly classified as making a purchase.
• B.About 50% of the customers who did make a purchase are correctly classified as making a purchase.
• C.About 85% of the customers who did make a purchase are correctly classified as making a purchase.
• D.About 95% of the customers who did make a purchase are correctly classified as making a purchase.

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This question will ask you to provide a missing option. Given the following SAS program:

What option must be added to the program to obtain a data set containing Pearson statistics?

• A.OUTCORR=estimates
• B.OUTP=estimates
• C.OUTSTAT=estimates
• D.OUTPUT=estimates

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Refer to the lift chart:

At a depth of 0.1, Lift = 3.14. What does this mean?

• A.Selecting the observations with a response probability of at least 10% should result in 3.14 times greater accuracy than a random draw of 10%.
• B.Selecting the top 10% of the population scored by the model should result in 3.14 times more events than a random draw of 10%.
• C.Selecting the top 10% of the population scored by the model should result in 3.14 times greater accuracy than a random draw of 10%.
• D.Selecting the observations with a response probability of at least 10% should result in 3.14 times more events than a random draw of 10%.

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