SAS Institute A00-240 Online Practice Questions and Exam Preparation

SAS Institute A00-240 Online Questions & Answers

• Question 51:

  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:

  

  What percentage of customers' intent to purchase is explained by market segment? Click the calculator button to display a calculator if needed.

  B. 35%
  C. 65%
  D. 76%
  D. 76%

• Question 52:

  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.
  B. Only the intercept estimate is biased.

• Question 53:

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

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

• Question 54:

  Refer to the following odds ratio table:

  

  What is a correct interpretation of the estimate?

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

• Question 55:

  This question will ask you to provide missing code segments.

  A logistic regression model was fit on a data set where 40% of the outcomes were events (TARGET=1) and 60% were non-events (TARGET=0). The analyst knows that the population where the model will be deployed has 5% events and

  95% non-events. The analyst also knows that the company's profit margin for correctly targeted events is nine times higher than the company's loss for incorrectly targeted non-event.

  Given the following SAS program:

  

  What X and Y values should be added to the program to correctly score the data?

  A. X=40, Y=10
  B. X=.05, Y=10
  C. X=.05, Y=.40
  D. X=.10, Y=05
  B. X=.05, Y=10

• Question 56:

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

  

  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
  B. Candidate 2, because the area under the curve is greater

• Question 57:

  Refer to the exhibit: Which SAS program produced the graph?

  

  B

• Question 58:

  This question will ask you to provide a missing option.

  A business analyst is investigating the differences in sales figures across 8 sales regions. The analyst is interested in viewing the regression equation parameter estimates for each of the design variables.

  Which option completes the program to produce the regression equation parameter estimates?

  

  A. Solve
  B. Estimate
  C. Solution
  D. Est
  C. Solution

• Question 59:

  Refer to the lift chart:

  

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

  A. The predicted lift for the best 50% of validation data cases
  B. The predicted lift if the entire population is scored as event cases
  C. The predicted lift if none of the population are scored as event cases
  D. The predicted lift if 50% of the population are randomly scored as event cases
  B. The predicted lift if the entire population is scored as event cases

• Question 60:

  Refer to the exhibit.

  

  Which conclusion is justified concerning Sales, comparing stores A, B, and C?

  A. Store B is significantly different from store A.
  B. Store C is significantly different from Store A.
  C. Store B is significantly different from store C.
  D. There is no significant difference between stores.
  A. Store B is significantly different from store A.