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

1. Which of the following sequential selection methods do you use so that SAS Enterprise Miner will look at all variables already included in the model and delete any variable that is not significant at the specified level?
Response:

A) Stepwise
B) None
C) Backward
D) Forward

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

3. Which model was picked as the best model by SAS Enterprise Miner?
Response:

A) Decision Tree
B) Regression
C) Decision Tree (3-way)
D) None of the above

4. Perform these tasks in SAS Enterprise Miner:
- Use the Regression node to build another regression model with TARGET as the dependent variable and all other input variables as independent variables (main effects only).
- Configure the regression model to use Stepwise for Selection Model and Validation Error for Selection Criteri a. Do not change any other property for the regression model.
Which of the following variable(s) is (are) statistically significant at the 5% level in the selected model?
Response:

A) all of the above
B) IMP_TLOpen24Pct
C) TLTimeFirst
D) TLDel3060Cnt24

5. What percentage of observations in the test data has TARGET=1?
Response:

A) 16.8874
B) 16.5924
C) 16.6627
D) 83.3333

Solutions: