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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Refer to the exhibit:

How many predictor variables would be included in the score code produced by this model?

A) 7
B) 5
C) 8
D) 13

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

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

3. Refer to the exhibit from SAS Visual Statistics:

What can be concluded from the lift plot shown in the exhibit?

A) The response rate for the best 20% is predicted to be 2.75 times greater than the sample fitted in the model.
B) The 20% of cases with the lowest predicted probability of the modeled event level is predicted to capture 2.75 times as many events as a random sample of 20%.
C) The response rate for the best 20% is predicted to increase 5 times under the fitted model.
D) The 20% of cases with the highest predicted probability of the modeled event level is expected to capture 2.75 times as many events as a random sample of the same size.

4. Your company has a dataset that represents global sales. You are a part of a team of analysts that each have responsibility for a certain region of the world. You decide to create a data source filter to suppress every region but yours.
What effect will this have on any new explorations that your teammates create?

A) It will suppress all observations that do not match their corresponding region.
B) It will have no effect on any observations in the dataset.
C) It will delete all observations that do not match your region.
D) It will suppress all observations that do not match your region.

5. The Leaf size property within a decision tree is changed from 5 to 10 and no other stopping rules were met.
How will the tree change?

A) The tree will be simpler.
B) The tree will train more slowly.
C) The tree will be harder to interpret.
D) The tree will be more complex.

Solutions: