SAS Institute A00-485 Practice Exams
Last updated on Oct 22,2026- Exam Code: A00-485
- Exam Name: Modeling Using SAS Visual Statistics
- Certification Provider: SAS Institute
- Latest update: Oct 22,2026
Question #181
Which equation does NOT represent a linear model? Note: bi are parameters and Xi are variables.
- A . y = b0 + b1X1 + b2X2
- B . y = b0 + b1X1 + b2X2 + b3(X1X2)
- C . y = b0 + b1X1 + (b2/b1)X2
- D . y = b0 + b1X1 + b2X1 3
Correct Answer: C
Question #182
What properties can be assigned when comparing models in SAS Visual Statistics?
- A . The number of observations in the dataset
- B . The variables to include in the model comparison
- C . The learning rate for gradient boosting models
- D . The color scheme for visualization
Correct Answer: B
Question #183
When creating a Linear Regression, Category Variables can be used for Classification Effects and
- A . Response
- B . Continuous Effects
- C . Group-by
- D . Frequency
Correct Answer: C
Question #184
What can be interpreted from the Summary Table for model comparison, including statistics and variable importance?
- A . The distribution of predictor variables
- B . Model performance metrics and their relative importance
- C . The number of iterations performed by each model
- D . The correlation matrix of predictor variables
Correct Answer: B
Question #185
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 calculating the distance between data points and leaf nodes
- C . By concatenating the decision rules leading to a leaf node
- D . By applying a clustering algorithm to leaf node values
Correct Answer: A
Question #186
In group-by modeling, when is the p-value for the group-by variable considered significant?
- A . When the p-value is less than 0.05
- B . When the p-value is greater than 0.05
- C . When the p-value is exactly 0.05
- D . When the p-value is less than 0.01
Correct Answer: AD
Question #187
What are some features of model comparison in SAS Visual Statistics?
- A . Comparing the performance of different models
- B . Identifying the best model based on a single metric
- C . Assessing the impact of predictor variables on model outcomes
- D . Evaluating model stability over time
Correct Answer: AB