Which SAS program will divide the original data set into 60% training and 40% validation data sets, stratified by county?

A. Option A

B. Option B

C. Option C

D. Option D

A marketing campaign will send brochures describing an expensive product to a set of customers. The cost for mailing and production per customer is $50. The company makes $500 revenue for each sale. What is the profit matrix for a typical person in the population?

A. Option A

B. Option B

C. Option C

D. Option D

A company has branch offices in eight regions. Customers within each region are classified as either "High Value" or "Medium Value" and are coded using the variable name VALUE. In the last year, the total amount of purchases per customer is used as the response variable.

Suppose there is a significant interaction between REGION and VALUE. What can you conclude?

A. More high value customers are found in some regions than others.

B. The difference between average purchases for medium and high value customers depends on the region.

C. Regions with higher average purchases have more high value customers.

D. Regions with higher average purchases have more medium value customers.

There are missing values in the input variables for a regression application.

Which SAS procedure provides a viable solution?

A. GLM

B. VARCLUS

C. STDI2E

D. CLUSTER

Refer to the exhibit:

SAS output from the RSQUARE selection method, within the REG procedure, is shown. The top two models in each subset are given. Based on the exhibit, which statement is true?

A. The AIC champion model is more parsimonious than the SBC champion.

B. The SBC champion model is more parsimonious than the AIC champion.

C. The R-Square champion model is the most parsimonious.

D. Adjusted R-Square and R-Square agree on the champion model.