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

1. 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) Stratify
B) Systemic
C) Cluster
D) Random

2. Assume you have two equally appealing logistic regression models. Then, if you have to select only one out of these two models, you should select the one that has which of the following?
Response:

A) higher value of AIC (Akaike,s information criterion)
B) all of the above
C) smaller value of gamma
D) smaller value of SBC (Schwarz,s Bayesian criterion)

3. 1. Create a project named Insurance, with a diagram named Explore.
2. Create the data source, DEVELOP, in SAS Enterprise Miner. DEVELOP is in the directory c:\workshop\Practice.
3. Set the role of all variables to Input, with the exception of the Target variable, Ins (1= has insurance, 0= does not have insurance).
4. Set the measurement level for the Target variable, Ins, to Binary.
5. Ensure that Branch and Res are the only variables with the measurement level of Nominal.
6. All other variables should be set to Interval or Binary.
7. Make sure that the default sampling method is random and that the seed is 12345.
What is the mean credit card balance (CCBal) of the customers with a variable annuity?
Response:

A) $0.00
B) $9,586.55
C) $8,711.65
D) $11,142.45

4. For the variable TLCnt24, apply a Max Normal transformation. What transformation was selected by SAS Enterprise Miner?
Response:

A) Exponential
B) Square
C) Square Root
D) Log

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

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

Solutions: