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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. When interpreting an Influence plot, what does it typically show?

A) The relationship between the response variable and the intercept term
B) The distribution of residuals in the model
C) The effect of each predictor variable on the response
D) The interaction between two predictor variables

2. 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

3. How can predicted values be derived and described in terms of predicted probabilities in SAS Visual Statistics?

A) By summing the residuals of the model
B) By calculating the mean of the predictor variables
C) By applying the link function to the linear predictor
D) By fitting a linear regression model to the data

4. Refer to the fit summary from in the exhibit below.

What can be concluded from the fit summary?

A) Debt to income ratio is a significant predictor when Job Type = Sales.
B) Job Type is not a significant predictor in this model.
C) Debt to income ratio is a significant predictor when Job Type = Mgr.
D) Job Type = Office has no important variables associated with it.

5. Refer to the exhibit:

A retailer wants to use a decision tree to select one segment to mail 35,000 coupons to existing customers for a new line of organic products.
Assuming that customers who have purchased organic products in the past are likely to want new organic products in the future, select the single best Leaf ID for the mailing.

A) 12
B) 15
C) 18
D) 17

Solutions: