New (2023) Download free A00-240 PDF for SASInstitute Practice Tests [Q15-Q32]

New (2023) Download free A00-240 PDF for SASInstitute Practice Tests

100% Free A00-240 Files For passing the exam Quickly

How to study the A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam

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NEW QUESTION 15
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 test data set?

A. To reduce total sample size to make computations more efficient.
B. To build the predictive models.
C. To compare models and select and fine-tune the final model.
D. To provide an unbiased measure of assessment for the final model.

Answer: D

NEW QUESTION 16
A marketing manager attempts to determine those customers most likely to purchase additional products as the result of a nation-wide marketing campaign.
The manager possesses a historical dataset (CAMPAIGN) of a similar campaign from last year.
It has the following characteristics:
* Target variable Respond (0, 1)
* Continuous predictor Income
* Categorical predictor Homeowner(Y, N)
Which SAS program performs this analysis?

A. Option C
B. Option D
C. Option B
D. Option A

Answer: D

NEW QUESTION 17
Refer to the REG procedure output:

Click on the calculator button to display a calculator if needed.

A. 0.6994
B. 0.1372
C. 0.4115
D. 0.5884

Answer: C

NEW QUESTION 18
The question will ask you to provide a missing statement. Given the following SAS program:

Which SAS statement will complete the program to correctly score the data set NEW_DATA?

A. Score data data=MYDIR.NEW_DATA out=scores;
B. Score data data=MYDIR.NEW_DATA output=scores;
C. Score data=HYDIR.NEU_DATA output=scores;
D. Score data=MYDIR, NEW DATA out=scores;

Answer: D

NEW QUESTION 19
Refer to the exhibit:

On the Gains Chart, what is the correct interpretation of the horizontal reference line?

A. the probability of a false negative
B. the probability of a false positive
C. the proportion of cases that cannot be classified
D. the prior event rate

Answer: A

NEW QUESTION 20
Refer to the exhibit.

Output from a multiple linear regression analysis is shown.
What is the most appropriate statement concerning collinearity between the input variables?

A. Collinearity is not a problem since all Pr>|t| values are less than 0.05.
B. Collinearity is a problem since all variance inflation values are less than 10.
C. Collinearity is a problem since all Pr>|t| values are less than 0.05.
D. Collinearity is not a problem since all variance inflation values are less than 10.

Answer: A

Explanation:
Explanation/Reference: https://www.researchgate.net/post/
Multicollinearity_issues_is_a_value_less_than_10_acceptable_for_VIF

NEW QUESTION 21
Which method is NOT an appropriate way to score new observations with a known target in a logistic regression model?

A. Augment the training data set with new observations and rerun the LOGISTIC procedure.
B. Use the saved parameter estimates from the LOGISTIC procedure and score new observations in the SCORE procedure.
C. Use the SCORE statement in the LOGISTIC procedure.
D. Augment the training data set with new observations and set their responses to missing.

Answer: A

NEW QUESTION 22
An analyst knows that the categorical predictor, storeId, is an important predictor of the target.
However, store_Id has too many levels to be a feasible predictor in the model. The analyst wants to combine stores and treat them as members of the same class level.
What are the two most effective ways to address the problem? (Choose two.)

A. Randomly combine the stores into five groups to keep the stochastic variation among the observations intact.
B. Eliminate store_id as a predictor in the model because it has too many levels to be feasible.
C. Use subject matter expertise to combine stores that are similar.
D. Cluster by using Greenacre's method to combine stores that are similar.

Answer: C,D

NEW QUESTION 23
Refer to the exhibit.

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

A. Large wrist size is significantly different than medium wrist size.
B. There is no significant difference due to wrist size.
C. Medium wrist size is significantly different than small wrist size.
D. Large wrist size is significantly different than small wrist size.

Answer: D

NEW QUESTION 24
Refer to the following odds ratio table:

What is a correct interpretation of the estimate?

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

Answer: B

NEW QUESTION 25
Refer to the REG procedure output:

The Intercept estimate is interpreted as:

A. The predicted value of the response when all predictors = 0.
B. The predicted value of the response when all the predictors are at their current values.
C. The predicted value of the response when all predictors are at their minimum values.
D. The predicted value of the response when all predictors are at their means.

Answer: A

NEW QUESTION 26
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.

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.)

A. Option B
B. Option C
C. Option D
D. Option A

Answer: A,D

NEW QUESTION 27
The selection criterion used in the forward selection method in the REG procedure is:

A. Adjusted R-Square
B. Mallows' Cp
C. AIC
D. SLE

Answer: D

Explanation:
Explanation/Reference:

NEW QUESTION 28
Refer to the confusion matrix:

Calculate the sensitivity. (0 - negative outcome, 1 - positive outcome)
Click the calculator button to display a calculator if needed.

A. 58/81
B. 25/48
C. 58/102
D. 25/B9

Answer: B

NEW QUESTION 29
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?
sliceby Gender / adjust=tukey;

A. slice Income*Gender / sliceby=Gender adjust=tukey;
B.
C. sliceby Income / adjust=tukey;
D. slice Income*Gender / sliceby=Income adjust=tukey;

Answer: B

NEW QUESTION 30
Refer to the exhibit.

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

A. Large wrist size is significantly different than medium wrist size.
B. There is no significant difference due to wrist size.
C. Medium wrist size is significantly different than small wrist size.
D. Large wrist size is significantly different than small wrist size.

Answer: D

NEW QUESTION 31
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.

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.)