SASInstitute Statistical Business Analyst A00-240 Questions & Answers

• Question 31:

  A marketing analyst assessed the effect of web page design (A, B, or C) on customers' intent to purchase an expensive product. The focus group was divided randomly into three sub-groups, each of which was asked to view one of the web pages and then give their intent to purchase on a scale from 0 to 100. The analyst also asked the customers to give their income, which was coded as: I (lowest), II (medium), or III (highest). After analyzing the data, the analyst claimed that there was significant interaction and the webpage design mainly influenced high income people.

  Which graph supports the analyst's conclusion?

  

  

  A. Option A

  B. Option B

  C. Option C

  D. Option D

  Correct Answer: A

• Question 32:

  Given the following output from the LOGISTIC procedure:

  

  Which variables, among those that are statistically significant at an alpha of 0.05, have the greatest and least relative importance on the fitted model?

  A. Greatest: MBA Least: DOWN_AMT

  B. Greatest: MBA Least: CASH

  C. Greatest: DOWN_AMT Least: CASH

  D. Greatest: DOWN_AMT Least: HOME

  Correct Answer: C

• Question 33:

  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:

  1.

  Target variable Respond (0, 1)

  2.

  Continuous predictor Income

  3.

  Categorical predictor Homeowner(Y, N) Which SAS program performs this analysis?

  

  A. Option A

  B. Option B

  C. Option C

  D. Option D

  Correct Answer: A

• Question 34:

  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;

  Correct Answer: D

• Question 35:

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

  A. Adjusted R Square

  B. Mallow's Cp

  C. Chi Square

  D. Average Squared Error

  Correct Answer: D

• Question 36:

  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 A

  B. Option B

  C. Option C

  D. Option D

  Correct Answer: AB

• Question 37:

  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?

  A. All parameter estimates are biased.

  B. Only the intercept estimate is biased.

  C. Only the non-intercept parameter estimates are biased.

  D. Sensitivity estimates are biased.

  Correct Answer: B

• Question 38:

  Refer to the exhibit:

  

  An analyst examined logistic regression models for predicting whether a customer would make a purchase. The ROC curve displayed summarizes the models. Using the selected model and the analyst's decision rule, 25% of the customers who did not make a purchase are incorrectly classified as purchasers.

  What can be concluded from the graph?

  A. About 25% of the customers who did make a purchase are correctly classified as making a purchase.

  B. About 50% of the customers who did make a purchase are correctly classified as making a purchase.

  C. About 85% of the customers who did make a purchase are correctly classified as making a purchase.

  D. About 95% of the customers who did make a purchase are correctly classified as making a purchase.

  Correct Answer: C

• Question 39:

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

  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

  Correct Answer: D

• Question 40:

  The following LOGISTIC procedure output analyzes the relationship between a binary response and an ordinal predictor variable, wrist_size Using reference cell coding, the analyst selects Large (L) as the reference level.

  

  What is the estimated logit for a person with large wrist size?

  Click the calculator button to display a calculator if needed.

  A. 0.0819

  B. 0.5663

  C. -3.7727

  D. -1.0415

  Correct Answer: D