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

2. Assume that a company has an excellent customer segmentation in place and the segment scheme is a variable in the input data set. What is the best partition method that one should use?
Select one:
Response:

A) Cluster
B) Systemic
C) Random
D) Stratify

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) Simple
B) Forward
C) Stepwise
D) Backward

4. Consider a binary target variable. Assume Accuracy is the desired assessment measure. Accuracy is not an option in the Decision Tree node. Which assessment measure can you use as a proxy for accuracy?
Select one:
Response:

A) Mean Square Error
B) Average Squared Error
C) 1 - Misclassification Rate
D) Total Profit

5. For an ordinal variable with L levels, the number of possible splits in a decision tree is which of the following?
Response:

A) 2L-1
B) 2L-1-1
C) (L-1)/1
D) 2L

Solutions: