SASInstitute A00-485 : Modeling Using SAS Visual Statistics

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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Refer to the exhibit from SAS Visual Statistics:

What can be concluded from the lift plot shown in the exhibit?

A) The response rate for the best 20% is predicted to increase 5 times under the fitted model.
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 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%.
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.

2. How can you interpret a Parallel Coordinates plot in cluster analysis?

A) It displays the hierarchical structure of clusters.
B) It visualizes the relationship between clusters.
C) It shows the distribution of data within a cluster.
D) It provides a summary of cluster statistics.

3. What does a ROC chart help assess in model comparison?

A) The correlation between predictor variables
B) The trade-off between true positives and false positives at different thresholds
C) The distribution of residuals in the models
D) The stability of model predictions

4. What does it mean to create dummy variables in SAS Visual Data Builder?

A) Replacing missing values with zeros
B) Converting categorical variables into binary variables
C) Aggregating multiple measures into one variable
D) Generating artificial data points

5. In group-by modeling, when is the p-value for the group-by variable considered significant?

A) When the p-value is exactly 0.05
B) When the p-value is less than 0.01
C) When the p-value is greater than 0.05
D) When the p-value is less than 0.05

Solutions: