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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Why are decision trees a useful technique for segmentation?

A) Trees split the response into heterogeneous groups, while minimizing the difference in the response of the groups.
B) Trees treat each split cell dependently based on earlier split decisions.
C) Trees split the response into homogeneous groups, while maximizing the difference in the response of the groups.
D) Trees split data into smaller cells which are decreasingly "pure".

2. Which statement is true for negative binomial and Poisson regression models?

A) Poisson regression models are used for count data, and negative binomial models are used for binary responses.
B) The canonical link function for Poisson regression is the log, while for negative binomial it is the logit.
C) Poisson regression is a special case of negative binomial regression.
D) Negative binomial models accommodate negative integers while Poisson regression does not.

3. Which SAS tool is most suitable for managing explorations and visualizations in a business intelligence context?

A) SAS Studio
B) SAS Visual Data Builder
C) SAS Enterprise Guide
D) SAS Enterprise Miner

4. When exporting score code, what information is typically included in the code?

A) The entire training dataset
B) The model parameters and coefficients
C) The distribution of the response variable
D) Instructions for preprocessing new data

5. What are the benefits of applying filters to both visualization and data source in SAS Visual Analytics?

A) Improved security by restricting access to specific data
B) Consistency in data presentation across multiple visualizations
C) Enhanced user experience by providing more interactive filtering options
D) Increased performance by reducing data retrieval from the source

Solutions: