SAS Institute A00-485 Practice Exams
Last updated on Oct 21,2026- Exam Code: A00-485
- Exam Name: Modeling Using SAS Visual Statistics
- Certification Provider: SAS Institute
- Latest update: Oct 21,2026
When performing linear regression modeling, what is the primary goal of assessing multicollinearity among predictors?
- A . To identify influential outliers
- B . To detect non-linear relationships
- C . To ensure that predictor variables are not highly correlated
- D . To calculate the coefficient of determination (R-squared)
What is the purpose of reviewing Measure Details when preparing data for a model?
- A . To check data types and formats of the measures
- B . To understand the level of measurement for each variable
- C . To identify missing values in the measures
- D . To determine the aggregation method for measures
What is the primary purpose of assigning variable roles in linear regression?
- A . To determine the order in which variables are entered into the model
- B . To specify which variables are categorical and which are continuous
- C . To indicate which variables are predictors and which are responses
- D . To determine the level of significance for each variable
What does a Lift chart evaluate in terms of model performance?
- A . The distribution of the response variable
- B . The relative performance of the model compared to a random model
- C . The correlation between predictor variables
- D . The interaction effects between predictor variables
When implementing score code in SAS Enterprise Guide, which step is typically involved in the process?
- A . Dragging and dropping the score code file into the project
- B . Running a SQL query to generate predictions
- C . Opening the code file and manually executing it
- D . Converting the code to a macro for automation
What is the purpose of setting Parallel Coordinate properties for a cluster in SAS Visual Statistics?
- A . To determine the cluster’s centroid
- B . To visualize the distribution of data within the cluster
- C . To create a scatter plot of data points
- D . To assign labels to the cluster’s variables
Which model does not produce score code?
- A . Decision Tree using interactive mode
- B . Regression using interaction effects
- C . Regression using the group by option
- D . Decision Tree using the rapid growth option
Which statement is true for negative binomial and Poisson regression models?
- A . Poisson regression models are used for count data, and negative binomial models are used for binary responses.
- B . The canonical link function for Poisson regression is the log, while for negative binomial it is the logit.
- C . Poisson regression is a special case of negative binomial regression.
- D . Negative binomial models accommodate negative integers while Poisson regression does not.
Refer to the exhibit:
A cluster has been created with four variables selected on the roles tab.
Select the set of Parallel Coordinates Properties that would display the image in the exhibit.
A)
B)
C)
D)
- A . Option A
- B . Option B
- C . Option C
- D . Option D
What is the primary purpose of modeling effects in linear regression?
- A . To assess multicollinearity among predictors
- B . To identify outliers in the data
- C . To capture the relationship between predictors and the response variable
- D . To calculate the p-values of the predictors