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

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

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

3. You are building a model to identify fraud. Your model will produce predictions that can be interpreted as the probability of fraud. You will pass on the top 100 scoring cases to management for investigation. Assume that you have sufficient data to hold out a validation and test data set for model evaluation.
Which selection would represent a reasonable ordering of fit statistics (best to worst) for this situation?
Select one:
Response:

A) Misclassification rate, ROC index, ASE
B) ASE, Lift for the top 10%, ROC index
C) R-square, AIC, K-S statistic
D) ROC index, ASE, misclassification rate

4. Assume a variable is coded as follows: 1=unmarried, 2=married, 3=divorced, and 4=widowed. Then which of the following measurement levels should be selected in SAS Enterprise Miner for this variable?
Response:

A) Nominal
B) Ordinal
C) Unary
D) Interval

5. Which method of input selection for regression analysis evaluates the statistical significance of the total model to see if it improves on the baseline as the variables are added and once no further improvement is made then variable selection ends?
Select one:
Response:

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

Solutions: