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

1. 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.
For the validation data, in what range does cumulative percent captured response at the 60th percentile lie?
Response:

A) 0-24.99
B) 75 or more
C) 25-49.99
D) 50-74.99

2. In SAS Enterprise Miner's Decision Tree node, which of the following types of target variable can be used?
Response:

A) all of the above
B) nominal with any number of categories
C) binary
D) interval

3. If we were to add a Transformation node, what would be the default transformation for interval inputs for the present scenario?
Response:

A) Maximum Normal
B) none of the above
C) Optimal
D) Maximum Correlation

4. Refer to the following profit matrix and confusion matrix for a campaign soliciting product purchases. The predicted variable is a binary outcome.

Based on the above tables, what is the average profit? You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:

A) 690
B) 69
C) 86.25
D) 6.9

5. 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) TLDel3060Cnt24
D) TLTimeFirst

Solutions: