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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. What is the primary purpose of reviewing the residual plot in linear regression analysis?

A) To assess the linearity assumption and identify potential issues
B) To detect outliers in the predictor variables
C) To determine the p-value associated with the response variable
D) To calculate the coefficient of determination (R-squared)

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

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

3. In SAS Visual Statistics, how can you use a derived cluster ID variable in another visualization?

A) By including it as a dimension in a new visualization
B) By linking it to a table in a database
C) By exporting it as a separate dataset
D) By embedding it within a scatter plot

4. Which statement is true regarding model comparison within SAS Visual Statistics?

A) Two cluster analyses cannot be compared if they have different initial seed assignments.
B) Two generalized linear models cannot be compared if they use different underlying distributions.
C) A logistic regression and a decision tree cannot be compared.
D) A linear regression and a generalized linear model cannot be compared.

5. Refer to the Parallel Coordinates Plot shown on the Exhibit.

Which two statements about cluster 0 in the Parallel Coordinates Plot are correct? (Choose two.)

A) In relation to the other clusters, it consists of people whose house values are lower.
B) In relation to the other clusters, it consists of people from the lower income group.
C) It contains the most observations.
D) In relation to the other clusters, it consists of people who are younger.

Solutions: