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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

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

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

2. When building a cluster analysis in SAS Visual Statistics, which of the following algorithms is commonly used for partitioning data into clusters?

A) Decision Tree
B) K-means
C) Linear Regression
D) Principal Component Analysis (PCA)

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

4. When reviewing Measure Details in SAS Visual Analytics, what information can you find related to measures?

A) Measure calculation method
B) Measure format and informat
C) Measure data type
D) Measure name and label

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

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

Solutions: