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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.
Which of the following variable(s) is (are) statistically significant at the 5% level in the selected model?
Response:

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

2. What is the variable worth of the PromCntCardAll variable in Segment 1?
Select one:
Response:

A) 0.27649
B) 0.24169
C) 0.10844
D) 0.24914

3. In segment 2, what percentage of GiftAvgCard36 values are between 6.6638 and 11.998?
Select one:
Response:

A) 47.82%
B) 13.39%
C) 48.59%
D) 14.00%

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

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

5. A multilayer perceptron neural network is using three interval inputs to model one interval target (outcome). The neural network has ten hidden units and one hidden layer. How many weights, including biases are being estimated?
You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:

A) 40
B) 50
C) 51
D) 41

Solutions: