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

Question 1

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

Question 2

Perform these tasks in SAS Enterprise Miner:
* Add a Decision Tree node, as shown below. (Make sure you use only default options in the Decision Tree node.)

* Run the Decision Tree node.
In the decision tree model, what is the importance of the variable InqCnt06?
Response:

A. 0.30-0.449999
B. less than 0.149999
C. 0.45 or higher
D. 0.15-0.299999

Question 3

Multicollinearity in regression refers to which of the following?
Response:

A. high skewness in distributions of input variables
B. high correlations among input variables
C. non-constant variance of the target variable
D. non-normality of the target variable

Question 4

Refer to the exhibit:

The SAS data set retail contains information on the count of retail store sales based on the following item types: bargain, essential, gourmet, and health. Based on the results from the Cluster Profile node, which statement is true?
Select one:
Response:

A. The overall distribution of bargain item sales is left-skewed and Segment 4 contains stores selling fewer than average bargain items.
B. The overall distribution of essential item sales is right skewed and Segment 4 contains stores selling higher than average essential items.
C. The overall distribution of essential item sales is approximately normal and Segment 1 contains stores selling fewer than average essential items.
D. The overall distribution of bargain item sales is approximately normal and Segment 1 contains stores selling fewer than average bargain items.

Question 5

Which of the following solves problems for you when you impute missing values?
Response:

A. When you impute a synthetic value, it eliminates the incomplete case problem.
B. When you impute a synthetic value, predictive information is retained.
C. When you impute a synthetic value, each missing value becomes an input to the model.
D. When you impute a synthetic value, it replaces missing values with 1 or 0.

Solutions: