SASInstitute A00-485 : Modeling Using SAS Visual Statistics

Exam Code: A00-485

Exam Name: Modeling Using SAS Visual Statistics

Updated: Oct 13, 2026

Q & A: 190 Questions and Answers

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SASInstitute A00-485 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Building and Assessing Segmentation Models28%- Perform supervised segmentation using decision trees
- Assess and interpret decision tree performance
- Perform unsupervised segmentation using cluster analysis
- Analyze and interpret cluster results
Topic 2: SAS Visual Statistics Cross-functional Tasks22%- Use interactive group-by functionality
- Prepare data using SAS Visual Analytics
- Perform model validation
- Filter data used for a model
Topic 3: Building and Assessing Regression-type Models41%- Explain concepts of linear models
- Assess model fit and diagnostics
- Perform generalized additive modeling
- Perform generalized linear regression modeling
- Perform linear regression modeling
- Perform nonparametric logistic regression modeling
Topic 4: Model Comparison and Scoring9%- Compare multiple models using fit statistics
- Apply models to score new data

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

Question #1

Given an Influence Plot generated in a Linear Regression within SAS Visual Statistics, which diagnostic can be used to quantify leverage?

  • A. Likelihood Displacement
  • B. Concordance
  • C. Adjusted R-Squared
  • D. AIC
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #2

What roles can be assigned to variables in logistic regression?

  • A. Input
  • B. Interval
  • C. Target
  • D. Nominal
Reveal Solution  Discussion  0

Correct Answer: A,C,D  🗳️

Question #3

How are split points determined in a decision tree?

  • A. By minimizing the number of leaf nodes
  • B. Randomly assigned
  • C. Based on the order of appearance in the dataset
  • D. By maximizing information gain or Gini impurity reduction
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #4

Which of the following are common distributions used in generalized linear models?

  • A. Logistic
  • B. Normal
  • C. Poisson
  • D. Exponential
Reveal Solution  Discussion  0

Correct Answer: A,B,C  🗳️

Question #5

Refer to the exhibit:

An economist is predicting demand using a linear regression model.
If all of the effect variables equal 1, what is the predicted demand?

  • A. 352.454433
  • B. 352.415433
  • C. 352.405432
  • D. 362.415133
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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