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Questions # 1:

PROC GLMSELECT was used for building a model predicting the natural log of a baseball player's salary from certain performance and longevity statistics. The model used backward elimination using SBC as its selection criterion. The sequence of steps is summarized in the graphic shown below:

Question # 1

At Step 9 number of at bats (nAtBat) was removed from the model.

Why was it removed?

Options:

A.

Removing nAtBat had the largest effect on the parameter estimate of nHits.

B.

The p-Value for nAtBat was largest.

C.

Removing nAtBat yielded the largest improvement to SBC.

D.

The p-Value for nAtBat was smallest.

Questions # 2:

Within PROC GLM, the interaction between the two categorical predictors, Income and Gender, was shown to be significant. An item store was saved from the GLM analysis.

Which statement from PROC PLM would test the significance of Gender within each level of Income and adjust for multiple tests?

Options:

A.

sliceby Gender / adjust=tukey;

B.

slice Income*Gender / sliceby=Gender adjust=tukey;

C.

slice Income*Gender / sliceby=Income adjust=tukey;

D.

sliceby Income / adjust=tukey;

Questions # 3:

The Model SS in a multiple linear regression model is equal to:

Options:

A.

the total SS- MSE

B.

the sum of Type I SS of all model terms

C.

the sum of Type II SS of all model terms

D.

the sum of SSE and MSE

Questions # 4:

An analyst has a sufficient volume of data to perform a 3-way partition of the data into training, validation, and test sets to perform honest assessment during the model building process.

What is the purpose of the training data set?

Options:

A.

To provide an unbiased measure of assessment for the final model.

B.

To compare models and select and fine-tune the final model.

C.

To reduce total sample size to make computations more efficient.

D.

To build the predictive models.

Questions # 5:

Customers were surveyed to assess their intent to purchase a product. An analyst divided the customers into groups defined by the company's pre-assigned market segments and tested for difference in the customers' average intent to purchase. The following is the output from the GLM procedure:

Question # 5

What percentage of customers' intent to purchase is explained by market segment?

Click the calculator button to display a calculator if needed.

Options:

A.

<0.01%

B.

35%

C.

65%

D.

76%

Questions # 6:

Refer to the REG procedure output:

Question # 6

How many observations are used in the analysis? Enter your numeric answer in the space below.

Options:

Questions # 7:

Consider scoring new observations in the SCORE procedure versus the SCORE statement in the LOGISTIC procedure.

Which statement is true?

Options:

A.

The SCORE statement in the LOGISTIC procedure returns only predicted probabilities, whereas the SCORE procedure returns only predicted logits.

B.

The SCORE statement in the LOGISTIC procedure returns only predicted logits, whereas the SCORE procedure returns only predicted probabilities.

C.

Unlike the SCORE procedure, the SCORE statement in the LOGISTIC procedure produces both predicted probabilities and predicted logits.

D.

The SCORE procedure and the SCORE statement in the LOGISTIC procedure produce the same output.

Questions # 8:

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

Which SAS procedure provides a viable solution?

Options:

A.

GLM

B.

VARCLUS

C.

STDI2E

D.

CLUSTER

Questions # 9:

Refer to the exhibit.

Question # 9

Based on the control plot, which conclusion is justified regarding the means of the response?

Options:

A.

All groups are significantly different from each other.

B.

2XL is significantly different from all other groups.

C.

Only XL and 2XL are not significantly different from each other.

D.

No groups are significantly different from each other.

Questions # 10:

Refer to the confusion matrix:

Question # 10

An analyst determines that loan defaults occur at the rate of 3% in the overall population. The above confusion matrix is from an oversampled test set (1 = default).

What is the sensitivity adjusted for the population event probability?

Enter your answer in the space below. Round to three decimals (example: n.nnn).

Options:

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