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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

Question 1

How can you derive a leaf ID for use in other models or analyses based on a decision tree?

A. By extracting the node IDs of all leaf nodes
B. By concatenating the decision rules leading to a leaf node
C. By applying a clustering algorithm to leaf node values
D. By calculating the distance between data points and leaf nodes

Question 2

What are some properties that can be defined in a linear regression model?

A. Maximum depth and minimum leaf size
B. Confusion matrix and accuracy
C. Coefficients, p-values, and R-squared
D. Learning rate and number of iterations

Question 3

What are the benefits of applying filters to both visualization and data source in SAS Visual Analytics?

A. Consistency in data presentation across multiple visualizations
B. Increased performance by reducing data retrieval from the source
C. Enhanced user experience by providing more interactive filtering options
D. Improved security by restricting access to specific data

Question 4

Refer to the exhibit from a linear regression model in SAS Visual Statistics:

Based on the table above and assuming a significance level of 0.05, what can be concluded about the linear regression model?

A. For one one-unit increase in Average Sales, there is an expected increase in the response of
4475.443.
B. The Intercept is an important predictor of the response.
C. Age is a significant predictor of the response.
D. For a 1371.5 unit decrease in Total Promos, there is an expected one-unit increase in the response.

Question 5

Interactive group-by analysis can be performed for each of the following in Visual Statistics except:

A. Decision tree
B. Linear regression
C. Generalized linear model
D. Logistic regression

Solutions: