SASInstitute Statistical Business Analyst A00-240 Questions & Answers

• Question 11:

  A researcher has several variables that could be possible predictors for the final model. There is interest in checking all 2-way interactions for possible entry to the model. The researcher has decided to use forward selection within PROC LOGISTIC. Fill in the missing code option that will ensure that all 2-way interactions will be considered for entry.

  

  A. start = 5

  B. include = 4

  C. include = 5

  D. start = 4

  Correct Answer: C

• Question 12:

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

  

  A.

  B.

  C.

  D.

  Correct Answer: B

  Reference: https://support.sas.com/resources/papers/proceedings/proceedings/sugi31/210-31.pdf

• Question 13:

  Refer to the exhibit:

  

  Which statement is true, based on the plots above?

  A. Approximately twice as many customers with the top ten percent of predicted probabilities are expected to have a positive versus negative event.

  B. Approximately ten percent of a randomly selected subset of twenty percent of the customers are expected to have a positive event.

  C. Approximately twenty percent of the customers with a predicted score of 3 have a positive predicted class.

  D. Approximately ten percent of those customers with the top twenty percent of predicted probabilities are expected to have a positive event.

  Correct Answer: A

• Question 14:

  While building a predictive model, median imputations are performed while preparing the training data. How should the imputations be addressed in the validation data?

  A. The imputed values are irrelevant to the validation data, and are not used.

  B. The imputed values must be applied directly to the validation data without recalculation.

  C. The imputed values must be recalculated using the validation data.

  D. The imputed values must be recalculated using both the training and the validation data.

  Correct Answer: C

• Question 15:

  The PROC LOGISTIC options SELECTION=SCORE and BEST=2 are used in a MODEL statement to generate a series of predictive models. The models are assigned numbers in order from 1 to 99 reflecting the fact that there are 50 candidate input variables. Results from the collection of derived models are used to generate the following plot of overall average profit by model number. Results are restricted to models with at least 9 inputs and at most 40 inputs.

  

  The maximum value for the training data occurs for model number 46, and the maximum value for the validation data occurs for model number 43. If you base model selection solely on overall average profit, what is the correct choice?

  A. Select model 46

  B. Select model 43

  C. Select model 45

  D. Select model 21

  Correct Answer: B

• Question 16:

  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?

  A. over fitting

  B. oversampling

  C. multicollinearity

  D. simple random sample

  Correct Answer: C

  Reference: https://www.researchgate.net/topic/Logistic-Regression

• Question 17:

  The selection criterion used in the forward selection method in the GLMSELECT procedure is:

  A. RSQ

  B. MSE

  C. R-squared

  D. AIC

  Correct Answer: D

• Question 18:

  When working with smaller data sets (N<200), which method is preferred to perform honest assessment?

  A. Training: 40% Validation: 30% Testing: 30%

  B. K-fold cross validation

  C. Cross validation using 4th quartile observations

  D. Use the AIC goodness of fit statistic

  Correct Answer: C

• Question 19:

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

  

  A. Option A

  B. Option B

  C. Option C

  D. Option D

  Correct Answer: C

• Question 20:

  A non-contributing predictor variable (Pr > |t| = 0.658) is removed from an existing multiple linear regression model. What will be the result?

  A. An increase in R-Square

  B. A decrease in R-Square

  C. A decrease in Mean Square Error

  D. No change in R-Square

  Correct Answer: B