About SASInstitute Modeling Using SAS Visual Statistics : A00-485 Exam Questions

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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. What does it mean to prune a decision tree?

A) To increase the depth of the tree to improve accuracy
B) To trim branches of the tree to reduce complexity and overfitting
C) To convert the decision tree into a random forest model
D) To remove all leaf nodes and keep only the root node

2. After a logistic regression has been created in SAS Visual Statistics, you discover that not all observations were used to create the model.
How would you run the model on all of the data?

A) Include the correct offset term.
B) Select Use Variable Selection on the properties tab.
C) Select Informative Missingness on the properties tab.
D) Include the correct interaction term.

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

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

4. How is prediction typically performed in logistic regression?

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

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

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

Solutions: