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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Refer to the exhibits:


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 6 cluster IDs in Exhibit 2 based on these settings?

A) Parallel Coordinates Visible Roles setting is 6.
B) Variable Standardization has been chosen.
C) Cluster Diagram Visible Roles setting is 6.
D) There are observations with missing values.

2. How can you interpret the impurity measures in an icicle plot of a decision tree?

A) Impurity measures are irrelevant in decision tree analysis.
B) Impurity measures represent the number of data points in a leaf node.
C) Higher impurity indicates better separation of classes.
D) Lower impurity implies more homogeneity within a leaf node.

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

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

4. When combining multiple categories into fewer levels in SAS Visual Analytics, what technique is often used?

A) Principal Component Analysis (PCA)
B) Data imputation
C) Variable transformation
D) Binning or grouping

5. In generalized linear models, what is the purpose of the link function?

A) To specify the relationship between the predictor and response variables
B) To calculate the p-values of predictor variables
C) To determine the distribution of the response variable
D) To adjust the model for multicollinearity

Solutions: