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Viewing questions 21-30 out of questions
Questions # 21:

Refer to the exhibit:

Question # 21

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?

Options:

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.

Questions # 22:

This question will ask you to provide a segment of missing code.

The following code is used to create missing value indicator variables for input variables, fred1 to fred7.

Question # 22

Which segment of code would complete the task?

Question # 22

Options:

A.

Option A

B.

Option B

C.

Option C

D.

Option D

Questions # 23:

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 ;

Options:

A.

test

B.

adjust

C.

var

D.

hovtest

Questions # 24:

A non-contributing predictor variable (Pr > |t| =0.658) is added to an existing multiple linear regression model.

What will be the result?

Options:

A.

An increase in R-Square

B.

A decrease in R-Square

C.

A decrease in Mean Square Error

D.

No change in R-Square

Questions # 25:

Refer to the confusion matrix:

Question # 25

Calculate the accuracy and error rate (0 - negative outcome, 1 - positive outcome)

Options:

A.

Accuracy = 58/102, Error Rate = 23/48

B.

Accuracy = 83/102, Error Rate = 67/102

C.

Accuracy = 25/150, Error Rate = 44/150

D.

Accuracy = 83/150, Error Rate = 67/150

Questions # 26:

Refer to the REG procedure output:

Question # 26

Calculate the coefficient of determination, R-Square.

Enter your numeric answer in the space below. Round to 4 decimal places (example: n.nnnn).

Options:

Questions # 27:

Refer to the lift chart:

Question # 27

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

Options:

A.

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%.

B.

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%.

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 greater accuracy than a random draw of 10%.

Questions # 28:

A financial services manager wants to assess the probability that certain clients will default on their Home Equity Line of Credit (HELOC). A former employee left the code listed below.

Question # 28

The training data set is named HELOC, while a similar data set of more recent clients is named RECENT_HELOC.

Which SAS data steps will calculate the predicted probability of default on recent clients? (Choose two.)

Question # 28

Options:

A.

Option A

B.

Option B

C.

Option C

D.

Option D

Questions # 29:

Select the equivalent LOGISTIC procedure model statements. (Choose two.)

Options:

A.

Mode1 Purchase * Gender Age Region;

B.

Mode1 Purchase * Gender | Age | Region;

C.

Mode1 Purchase * Gender|Age|Region @1;

D.

Mode1 Purchase * Gender|Age|Region @2;

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