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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. An analyst wants to limit data to a certain demographic and build a decision tree model.
Which approach should the analyst take?

A) Create a new ranks variable on age and sort descending on that variable.
B) Create a new data hierarchy.
C) Create a report filter.
D) Create an SQL query from the filters tab.

2. What does the Variable Importance feature help with when choosing the best fitting group-by model?

A) Identifying the most influential predictors
B) Assessing the significance of each predictor
C) Evaluating the multicollinearity among predictors
D) Understanding the distribution of the target variable

3. How are split points determined in a decision tree?

A) By maximizing information gain or Gini impurity reduction
B) Randomly assigned
C) Based on the order of appearance in the dataset
D) By minimizing the number of leaf nodes

4. You want to filter out certain observations to analyze their effect on the model.

Which windows will achieve this? (Choose two.)

A) Influence Plot
B) Assessment
C) Fit Summary
D) Residual Plot

5. In decision tree analysis, what is typically found on the y-axis of an icicle plot?

A) Class labels
B) Impurity measures
C) Feature values
D) Depth of the tree

Solutions: