SASInstitute A00-485 : Modeling Using SAS Visual Statistics

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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Refer to the exhibits:
Exhibit 1:

Exhibit 2:

An analyst has created a cluster model based on the settings in Exhibit 1 and chose to derive a cluster ID variable.
Why are there 5 cluster IDs in Exhibit 2 based on these settings?

A) Parallel Coordinates Visible Roles setting is 5.
B) Cluster Matrix Visible Roles setting is 5.
C) Variable Standardization has been chosen.
D) There are observations with missing values.

2. You would like to see the minimum and maximum values for all of your measures so that you can filter variables as needed.
Which is the most efficient way to do that?

A) Select View Measure Details within the Actions menu to the right of the dataset name.
B) Select a histogram object for each measure.
C) Create aggregated measures using the Min and Max aggregations.
D) Create a calculated item subtracting the Min aggregation from the Max aggregation.

3. In linear regression modeling, what roles are typically assigned to variables?

A) Intercept, Slope, and Error
B) Predictor, Response, and Interaction
C) Dependent, Independent, and Categorical
D) Input, Target, and Nominal

4. Given a scenario, what fit statistic can be used to select a champion model in model comparison?

A) The R-squared value
B) The learning rate of the model
C) The AUC (Area Under the Curve)
D) The p-value of the intercept term

5. How can you interpret a Parallel Coordinates plot in cluster analysis?

A) It displays the hierarchical structure of clusters.
B) It visualizes the relationship between clusters.
C) It shows the distribution of data within a cluster.
D) It provides a summary of cluster statistics.

Solutions: