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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Which statement is true regarding the Cluster Analysis in SAS Visual Statistics?

A) You can derive a Cluster ID variable by right clicking on the Parallel Coordinates plot.
B) An observation can belong to more than one cluster.
C) Clusters may overlap in the Cluster Matrix plot.
D) SAS Visual Statistics creates a measure variable containing the cluster ID when you derive a Cluster ID variable.

2. What is the primary purpose of imputing a variable in SAS Visual Analytics?

A) To create new variables
B) To replace incorrect values
C) To aggregate data
D) To remove missing values

3. You want to build a model that predicts whether a customer will default on a loan assuming an underlying binomial distribution.
Which model within SAS Visual Statistics would you use?

A) logistic regression model using the Probit link function
B) logistic regression model using the Logit link function
C) generalized linear model using the binomial distribution and the log link function
D) logistic regression model using the Tobit link function

4. When assigning variable roles for a decision tree, which role typically represents the target variable you want to predict?

A) Splitter
B) Input
C) Output
D) Predictor

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

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

Solutions: