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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. How is prediction typically performed in logistic regression?

A) By calculating the mean of the response variable
B) By maximizing the likelihood of the response variable
C) By estimating the probability of an event for each observation
D) By fitting a straight line through the data points

2. When examining the Cluster Summary tab, what information is typically available?

A) The number of iterations performed during clustering
B) The number of variables in the analysis
C) The decision tree structure for each cluster
D) Statistics for each cluster, such as mean and standard deviation

3. Which of the following criteria are commonly used for pruning a decision tree?

A) Maximum tree height
B) Maximum leaf nodes
C) Minimum split count
D) Maximum depth

4. What does it mean to create dummy variables in SAS Visual Data Builder?

A) Replacing missing values with zeros
B) Generating artificial data points
C) Aggregating multiple measures into one variable
D) Converting categorical variables into binary variables

5. Assuming the event level is the same for both models, which pair of models can be compared?

A)

B)

C)

D)

Solutions: