SASInstitute A00-485 Questions & Answers - in .pdf
- Total Q&A: 190
- Update: Jun 22, 2026
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- Vendor: SASInstitute
- Exam Code: A00-485
- Exam Name: Modeling Using SAS Visual Statistics
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SASInstitute A00-485 Q&A - Testing Engine
- Total Q&A: 190
- Update: Jun 22, 2026
- Price: $59.99
- Vendor: SASInstitute
- Exam Code: A00-485
- Exam Name: Modeling Using SAS Visual Statistics
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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
1. What does it mean to prune a decision tree?
A) To remove all leaf nodes and keep only the root node
B) To convert the decision tree into a random forest model
C) To increase the depth of the tree to improve accuracy
D) To trim branches of the tree to reduce complexity and overfitting
2. 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) RestPulse is a significant predictor of the response.
B) The Intercept is an important predictor of the response.
C) For a .03696 unit decrease in RunPulse, there is an expected one-unit increase in the response.
D) For one one-unit increase in RunTime, there is an expected increase in the response of 2.6287.
3. What do cluster properties refer to in the context of cluster analysis?
A) Characteristics shared by data points within a cluster
B) A measure of data point centrality
C) Descriptive statistics of individual data points
D) The number of clusters in the analysis
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 lowest predicted probability of the modeled event level is predicted to capture 2.75 times as many events as a random sample of 20%.
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 response rate for the best 20% is predicted to increase 5 times under the fitted model.
D) 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.
5. 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 a 1371.5 unit decrease in Total Promos, there is an expected one-unit increase in the response.
B) The Intercept is an important predictor of the response.
C) For one one-unit increase in Average Sales, there is an expected increase in the response of
4475.443.
D) Age is a significant predictor of the response.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: D | Question # 5 Answer: C |
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