SASInstitute Statistical Business Analyst A00-240 Questions & Answers

• Question 41:

  Consider scoring new observations in the SCORE procedure versus the SCORE statement in the LOGISTIC procedure.

  Which statement is true?

  A. The SCORE statement in the LOGISTIC procedure returns only predicted probabilities, whereas the SCORE procedure returns only predicted logits.

  B. The SCORE statement in the LOGISTIC procedure returns only predicted logits, whereas the SCORE procedure returns only predicted probabilities.

  C. Unlike the SCORE procedure, the SCORE statement in the LOGISTIC procedure produces both predicted probabilities and predicted logits.

  D. The SCORE procedure and the SCORE statement in the LOGISTIC procedure produce the same output.

  Correct Answer: A

• Question 42:

  Select the equivalent LOGISTIC procedure model statements. (Choose two.)

  A. Mode1 Purchase * Gender Age Region;

  B. Mode1 Purchase * Gender | Age | Region;

  C. Mode1 Purchase * Gender|Age|Region @1;

  D. Mode1 Purchase * Gender|Age|Region @2;

  Correct Answer: AC

• Question 43:

  Given the following LOGISTIC procedure:

  

  What is the difference between the datasets OUTFILEJ and OUTFILE_2?

  A. OUTFILE_1 contains the final parameter estimates while OUTFILE_2 contains the newly scored probabilities.

  B. OUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored probabilities

  C. OUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored logits.

  D. OUTFILEJ contains the final parameter estimates and Wald Chi-Square values while OUTFILE_2 contains the newly scored probabilities.

  Correct Answer: A

• Question 44:

  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.

  Correct Answer: C

• Question 45:

  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.

  Correct Answer: B

• Question 46:

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

  

  A. Option A

  B. Option B

  C. Option C

  D. Option D

  Correct Answer: B

• Question 47:

  Refer to the exhibit:

  

  SAS output from the RSQUARE selection method, within the REG procedure, is shown. The top two models in each subset are given.

  Based on the AIC statistic, which model is the champion model?

  A. Age Weight RunTime RunPulse MaxPulse

  B. Age Weight RunTime RunPulse RestPulse MaxPulse

  C. RestPulse

  D. RunTime

  Correct Answer: A

• Question 48:

  A linear model has the following characteristics:

  1.

  A dependent variable (y)

  2.

  Three continuous predictor variables (x1-x3)

  3.

  One categorical predictor variable (c1 with 3 levels)

  Which SAS program fits this model?

  

  A. Option A

  B. Option B

  C. Option C

  D. Option D

  Correct Answer: D

• Question 49:

  Which SAS program will correctly use backward elimination selection criterion within the REG procedure?

  

  A. Option A

  B. Option B

  C. Option C

  D. Option D

  Correct Answer: B

• Question 50:

  Refer to the REG procedure output:

  

  The Intercept estimate is interpreted as:

  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.

  Correct Answer: C