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A00-240 SAS Statistical Business Analysis SAS9: Regression and Model Questions and Answers

Questions 4

Refer to the ROC curve:

A00-240 Question 4

As you move along the curve, what changes?

Options:

A.

The priors in the population

B.

The true negative rate in the population

C.

The proportion of events in the training data

D.

The probability cutoff for scoring

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Questions 5

Refer to the exhibit.

A00-240 Question 5

These graphs were created using the GLM procedure with the plots(only)=diagnostics option.

Which plot do you use to identify influential observations?

Options:

A.

Cook's D by Observation

B.

Residual by Quantile

C.

Residual by Predicted

D.

Fit - Mean and Residual Plot

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Questions 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?

A00-240 Question 6

Options:

A.

Option A

B.

Option B

C.

Option C

D.

Option D

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Questions 7

In partitioning data for model assessment, which sampling methods are acceptable? (Choose two.)

Options:

A.

Simple random sampling without replacement

B.

Simple random sampling with replacement

C.

Stratified random sampling without replacement

D.

Sequential random sampling with replacement

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Questions 8

The total modeling data has been split into training, validation, and test data.

What is the best data to use for model assessment?

Options:

A.

Training data

B.

Total data

C.

Test data

D.

Validation data

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Questions 9

Which SAS program will correctly use backward elimination selection criterion within the REG procedure?

A00-240 Question 9

Options:

A.

Option A

B.

Option B

C.

Option C

D.

Option D

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Questions 10

Which of the following describes a concordant pair of observations in the LOGISTIC procedure?

Options:

A.

An observation with the event has an equal probability as another observation with the event.

B.

An observation with the event has a lower predicted probability than the observation without the event.

C.

An observation with the event has an equal predicted probability as the observation without the event.

D.

An observation with the event has a higher predicted probability than the observation without the event

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Questions 11

Refer to the exhibit.

A00-240 Question 11

Given alpha=0.02, which conclusion is justified regarding percentage of body fat, comparing small (S), medium (M), and large (L) wrist sizes?

Options:

A.

Medium wrist size is significantly different than small wrist size.

B.

Large wrist size is significantly different than medium wrist size.

C.

Large wrist size is significantly different than small wrist size.

D.

There is no significant difference due to wrist size.

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Questions 12

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

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Questions 13

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:

A00-240 Question 13

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%

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Questions 14

What is a benefit to performing data cleansing (imputation, transformations, etc.) on data after partitioning the data for honest assessment as opposed to performing the data cleansing prior to partitioning the data?

Options:

A.

It makes inference on the model possible.

B.

It is computationally easier and requires less time.

C.

It omits the training (and test) data sets from the benefits of the cleansing methods.

D.

It allows for the determination of the effectiveness of the cleansing method.

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Exam Code: A00-240
Exam Name: SAS Statistical Business Analysis SAS9: Regression and Model
Last Update: Apr 22, 2024
Questions: 99

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