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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Refer to the exhibits:


An analyst is evaluating which model to use.
What changed from Comparison 1 to Comparison 2 to select a different champion model?

A) Misclassification was used instead of Cumulative Lift
B) Analyst clicked on Model 2 to highlight it
C) Percentile changed from 5th percentile to 40th percentile
D) Prediction Cutoff reduced from .5 to .19

2. When performing decision tree analysis in SAS Visual Statistics, how does the property setting for
"include missing" modify the usage of missing values within categorical discrete predictors?

A) assigns its own level
B) imputes the median of the predictor's known values
C) imputes the mean of the predictor's known values
D) assigns the smallest available machine value

3. What does it mean to create dummy variables in SAS Visual Data Builder?

A) Replacing missing values with zeros
B) Generating artificial data points
C) Converting categorical variables into binary variables
D) Aggregating multiple measures into one variable

4. Refer to the exhibit:

A cluster has been created with four variables selected on the roles tab.
Select the set of Parallel Coordinates Properties that would display the image in the exhibit.

A)

B)

C)

D)

5. Which assessment feature is available when modeling logistic regression models in SAS Visual Statistics?

A) Logworth
B) English Rules
C) Icicle Plot
D) ROC Chart

Solutions: