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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:

1. Refer to the graphs shown below. The graphs are from a study of response rate to a marketing campaign.

How much more likely are the top 20% of targeted respondents to purchase the product than a randomly selected sample?
Select one:
Response:

A) 140%
B) 30%
C) 60%
D) 25%

2. Impute the missing values for the variable TLSum using the Tree method. What is the mean of the new variable (with the imputed values)?
Response:

A) 20,000-29,999.99
B) less than 19,999.99
C) 40,000 or higher
D) 30,000-39,999.99

3. Which method of input selection for regression analysis evaluates the statistical significance of all included inputs after each input is added?
Select one:
Response:

A) Backward
B) Simple
C) Stepwise
D) Forward

4. What is the number of missing values for the TLSum variable in the sample generated by SAS Enterprise Miner?
Response:

A) 1-19
B) 0
C) 20-39
D) 40 or more

5. Assume you have two equally appealing logistic regression models. Then, if you have to select only one out of these two models, you should select the one that has which of the following?
Response:

A) higher value of AIC (Akaike,s information criterion)
B) smaller value of SBC (Schwarz,s Bayesian criterion)
C) all of the above
D) smaller value of gamma

Solutions: