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Question 1:

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

Correct Answer: C

Question 2:

Refer to the lift chart:

What does the reference line at lift = 1 corresponds to?

A. The predicted lift for the best 50% of validation data cases

B. The predicted lift if the entire population is scored as event cases

C. The predicted lift if none of the population are scored as event cases

D. The predicted lift if 50% of the population are randomly scored as event cases

Correct Answer: B

Question 3:

Refer to the exhibit:

The plots represent two models, A and B, being fit to the same two data sets, training and validation.

Model A is 90.5% accurate at distinguishing blue from red on the training data and 75.5% accurate at doing the same on validation data. Model B is 83% accurate at distinguishing blue from red on the training data and 78.3% accurate at

doing the same on the validation data.

Which of the two models should be selected and why?

A. Model A. It is more complex with a higher accuracy than model B on training data.

B. Model A. It performs better on the boundary for the training data.

C. Model B. It is more complex with a higher accuracy than model A on validation data.

D. Model B. It is simpler with a higher accuracy than model A on validation data.

Correct Answer: D

Question 4:

In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data?

A. Training: 50% Validation: 0% Testing: 50%

B. Training: 100% Validation: 0% Testing: 0%

C. Training: 0% Validation: 100% Testing: 0%

D. Training: 50% Validation: 50% Testing: 0%

Correct Answer: D

Question 5:

Refer to the exhibit:

Based upon the comparative ROC plot for two competing models, which is the champion model and why?

A. Candidate 1, because the area outside the curve is greater

B. Candidate 2, because the area under the curve is greater

C. Candidate 1, because it is closer to the diagonal reference curve

D. Candidate 2, because it shows less over fit than Candidate 1

Correct Answer: B

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Question 6:

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

Correct Answer: C

Question 7:

A confusion matrix is created for data that were oversampled due to a rare target. What values are not affected by this oversampling?

A. Sensitivity and PV

B. Specificity and PV

C. PV and PV

D. Sensitivity and Specificity

Correct Answer: D

Question 8:

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=40, Y=10

B. X=.05, Y=10

C. X=.05, Y=.40

D. X=.10.Y=05

Correct Answer: B

Question 9:

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.

Correct Answer: B

Question 10:

This question will ask you to provide a missing option.

Complete the following syntax to test the homogeneity of variance assumption in the GLM procedure:

Means Region / =levene;

A. test

B. adjust

C. var

D. hovtest

Correct Answer: D

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