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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

Question 1

What is the primary purpose of reviewing the residual plot in linear regression analysis?

A. To determine the p-value associated with the response variable
B. To calculate the coefficient of determination (R-squared)
C. To detect outliers in the predictor variables
D. To assess the linearity assumption and identify potential issues

Question 2

When investigating leaf nodes in a decision tree, what does it reveal about the data?

A. The feature values associated with each leaf node
B. The decision rules leading to each leaf node
C. The class labels assigned to each leaf node
D. The statistical significance of each leaf node

Question 3

Which statement is true regarding the number of polylines created in a Parallel Coordinates plot during Cluster Analysis?

A. It cannot exceed 3,000.
B. It is calculated using the variable with the greatest number of bins.
C. It is calculated using the number of variables visible in the plot.
D. It is calculated using the number of variables used in the cluster analysis.

Question 4

Refer to the exhibit from SAS Visual Statistics:

What can be concluded from the lift plot shown in the exhibit?

A. The 20% of cases with the highest predicted probability of the modeled event level is expected to capture 2.75 times as many events as a random sample of the same size.
B. The response rate for the best 20% is predicted to be 2.75 times greater than the sample fitted in the model.
C. The 20% of cases with the lowest predicted probability of the modeled event level is predicted to capture 2.75 times as many events as a random sample of 20%.
D. The response rate for the best 20% is predicted to increase 5 times under the fitted model.

Question 5

Cluster Analysis in SAS Visual Statistics is categorized as which type of machine learning?

A. Semi-supervised learning
B. Supervised learning
C. Reinforcement learning
D. Unsupervised learning

Solutions: