Latest SAS Business Analyst Certification A00-240 Dumps

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1. Assume a $10 cost for soliciting a non-responder and a $200 profit for soliciting a responder. The logistic regression model gives a probability score named P_R on a SAS data set called VALID. The VALID data set contains the responder variable Pinch, a 1/0 variable coded as 1 for responder. Customers will be solicited when their probability score is more than 0.05.

Which SAS program computes the profit for each customer in the data set VALID?

Option A

Option B

Option C

Option D

2. The selection criterion used in the forward selection method in the REG procedure is:

Adjusted R-Square

SLE

Mallows' Cp

AIC

3. Which SAS program will best identify influential observations in a multiple regression application?

Option A

Option B

Option C

Option D

4. Which statistic, calculated from a validation sample, can help decide which model to use for prediction of a binary target variable?

Adjusted R Square

Mallow's Cp

Chi Square

Average Squared Error

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

What is the best data to use for model assessment?

Training data

Total data

Test data

Validation data

6. One common approach for predicting rare events in the LOGISTIC procedure is to build a model that disproportionately over-re presents those cases with an event occurring (e.g. a 50-50 event/non-event split).

What problem does this present?

All parameter estimates are biased.

Only the intercept estimate is biased.

Only the non-intercept parameter estimates are biased.

Sensitivity estimates are biased.

7. Identify the correct SAS program for fitting a multiple linear regression model with dependent variable (y) and four predictor variables (x1-x4).

Option A

Option B

Option C

Option D

8. 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.)

Option A

Option B

Option C

Option D

9. Refer to the exhibit.

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

All groups are significantly different from each other.

2XL is significantly different from all other groups.

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

No groups are significantly different from each other.

10. Refer to the exhibit:

The box plot was used to analyze daily sales data following three different ad campaigns.

The business analyst concludes that one of the assumptions of ANOVA was violated.

Which assumption has been violated and why?

Normality, because Prob > F < .0001.

Normality, because the interquartile ranges are different in different ad campaigns.

Constant variance, because Prob > F < .0001.

Constant variance, because the interquartile ranges are different in different ad campaigns.

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11. Given the following SAS data set TEST:

Which SAS program is NOT a correct way to create dummy variables?

Option A

Option B

Option C

Option D

12. 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?

Medium wrist size is significantly different than small wrist size.

Large wrist size is significantly different than medium wrist size.

Large wrist size is significantly different than small wrist size.

There is no significant difference due to wrist size.

13. Spearman statistics in the CORR procedure are useful for screening for irrelevant variables by investigating the association between which function of the input variables?

Concordant and discordant pairs of ranked observations

Logit link (log (p/1-p))

Rank-ordered values of the variables

Weighted sum of chi-square statistics for 2x2 tables

14. A researcher is planning a logistic regression to model the probability of disease occurrence. The researcher determines the rate of disease occurrence in the population is 1%.

For which of the following would this study be a candidate?

over fitting

oversampling

multicollinearity

simple random sample

15. This question will ask you to provide a missing option. Given the following SAS program:

What option must be added to the program to obtain a data set containing Pearson statistics?

OUTPUT=estimates

OUTP=estimates

OUTSTAT=estimates

OUTCORR=estimates

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

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

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

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

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

17. Which SAS program will detect collinearity in a multiple regression application?

Option A

Option B

Option C

Option D

18. Given the following GLM procedure output:

Which statement is correct at an alpha level of 0.05?

School*Gender should be removed because it is non-significant.

Gender should be removed because it is non-significant.

School should be removed because it is significant.

Gender should not be removed due to its involvement in the significant interaction.

19. CORRECT TEXT

A linear model has the following characteristics:

- A dependent variable (y)

- One continuous variable (x1)

- One categorical (1 with 3 levels) predictor variable and an interaction term (1 by x1)

How many parameters, including the intercept, will be estimated for this model? Enter your numeric answer in the space below.

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

What will be the result?

An increase in R-Square

A decrease in R-Square

A decrease in Mean Square Error

No change in R-Square

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21. 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?

Option A

Option B

Option C

Option D

22. An analyst generates a model using the LOGISTIC procedure. They are now interested in getting the sensitivity and specificity statistics on a validation data set for a variety of cutoff values.

Which statement and option combination will generate these statistics?

Score data=valid1 out=roc;

Score data=valid1 outroc=roc;

mode1 resp(event= '1') = gender region/outroc=roc;

mode1 resp(event"1") = gender region/ out=roc;

23. 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?

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

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

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

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

24. An analyst knows that the categorical predictor, zip_code, is an important predictor of a binary target.

However, zip_code has too many levels to be a feasible predictor in a model. The analyst uses PROC CLUSTER to implement Greenacre's method to reduce the number of categorical levels.

What is the correct application of Greenacre's method in this situation?

Clustering the levels using the target proportion for each zip_code as input.

Clustering the levels using the zip_code values as input.

Clustering the levels using the number of cases in each zip_code as input.

Clustering the levels using dummy coded zip_code levels as inputs.

25. Refer to the lift chart:

What does the reference line at lift = 1 corresponds to?

The predicted lift for the best 50% of validation data cases

The predicted lift if the entire population is scored as event cases

The predicted lift if none of the population are scored as event cases

The predicted lift if 50% of the population are randomly scored as event cases