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

1. Sometimes in predictive modeling we build models using a sample that has a primary outcome proportion different from true population proportion. This is usually done when the ratio of primary to secondary outcomes in a binary target variable in the population is close to which of the following?
Response:

A) 0.05
B) 1.2
C) 0.8
D) 1

2. What is the average squared error in the training data?
Response:

A) 0.131709
B) 0.131208
C) 0.133665
D) 0.131583

3. Transformation of input variables to make their distributions more symmetric will likely have what impact in a logistic regression?
Select one:
Response:

A) create convergence problems in maximum likelihood estimation
B) increase the performance of logistic regression
C) neither increase nor decrease the performance of logistic regression
D) decrease the performance of logistic regression

4. 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, it replaces missing values with 1 or 0.
D) When you impute a synthetic value, each missing value becomes an input to the model.

5. For the variable InqCnt06, replace all values over 10.1 with the value 10. How many values are replaced?
Response:

A) 0-99
B) 100-149
C) 150-199
D) 200 or higher

Solutions: