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Free SAS Institute A00-240 Practice Exam with Questions & Answers | Set: 2

Questions 11

A researcher has several variables that could be possible predictors for the final model. There is interest in checking all 2-way interactions for possible entry to the model. The researcher has decided to use forward selection within PROC LOGISTIC. Fill in the missing code option that will ensure that all 2-way interactions will be considered for entry.

A00-240 Question 11

Options:
A.

start = 5

B.

include = 4

C.

include = 5

D.

start = 4

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Questions 12

Refer to the following odds ratio table:

A00-240 Question 12

What is a correct interpretation of the estimate?

Options:
A.

The odds of the event are 1.142 greater for each one dollar increase in salary.

B.

The odds of the event are 1.142 greater for each one thousand dollar increase in salary.

C.

The probability of the event is 1.142 greater for each one dollar increase in salary.

D.

The probability of the event is 1.142 greater for each one thousand dollar increase in salary.

Questions 13

A predictive model uses a data set that has several variables with missing values.

What two problems can arise with this model? (Choose two.)

Options:
A.

The model will likely be overfit.

B.

There will be a high rate of collinearity among input variables.

C.

Complete case analysis means that fewer observations will be used in the model building process.

D.

New cases with missing values on input variables cannot be scored without extra data processing.

Questions 14

The SAS data set RESULT contains the following variables:

  • Region (GrpA or GrpB)
  • Sales (dollars per year)

Which SAS programs can be used to find the p-value for comparing GrpA sales with GrpB sales? (Choose two.)

A00-240 Question 14

Options:
A.

Option A

B.

Option B

C.

Option C

D.

Option D

Questions 15

Which characteristic of Studentized residuals indicate potential outliers?

Options:
A.

Only studentized residuals greater than negative two

B.

Only studentized residuals less than negative two and greater than two

C.

Only studentized residuals greater than two

D.

Only studentized residuals less than two and greater than negative two

Questions 16

Refer to the exhibit:

A00-240 Question 16

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

Options:
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

Questions 17

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

Options:
A.

It violates assumptions of the model.

B.

It requires extra computational effort and time.

C.

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

D.

There is no ability to compare the effectiveness of different cleansing methods.

Questions 18

Refer to the REG procedure output:

A00-240 Question 18

The Intercept estimate is interpreted as:

Options:
A.

The predicted value of the response when all the predictors are at their current values.

B.

The predicted value of the response when all predictors are at their means.

C.

The predicted value of the response when all predictors = 0.

D.

The predicted value of the response when all predictors are at their minimum values.

Questions 19

The PROC LOGISTIC options SELECTION=SCORE and BEST=2 are used in a MODEL statement to generate a series of predictive models. The models are assigned numbers in order from 1 to 99 reflecting the fact that there are 50 candidate input variables. Results from the collection of derived models are used to generate the following plot of overall average profit by model number. Results are restricted to models with at least 9 inputs and at most 40 inputs.

A00-240 Question 19

The maximum value for the training data occurs for model number 46, and the maximum value for the validation data occurs for model number 43.

If you base model selection solely on overall average profit, what is the correct choice?

Options:
A.

Select model 46

B.

Select model 43

C.

Select model 45

D.

Select model 21

Questions 20

Refer to the exhibit.

A00-240 Question 20

Output from a multiple linear regression analysis is shown.

What is the most appropriate statement concerning collinearity between the input variables?

Options:
A.

Collinearity is a problem since all variance inflation values are less than 10.

B.

Collinearity is not a problem since all variance inflation values are less than 10.

C.

Collinearity is not a problem since all Pr>|t| values are less than 0.05.

D.

Collinearity is a problem since all Pr>|t| values are less than 0.05.

Exam Code: A00-240
Certification Provider: SAS Institute
Exam Name: SAS Statistical Business Analysis SAS9: Regression and Model
Last Update: Jun 14, 2025
Questions: 99