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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. When reviewing outlier details in linear regression, what factors should be considered when deciding whether to exclude outliers?

A) The magnitude of the outlier and its impact on the model
B) The variable roles assigned to outliers
C) The p-values associated with the outliers
D) The number of outliers in the dataset

2. Refer to the exhibit:

Prior to performing a decision tree analysis, you need to assess the default Values of Classification and Model Type Properties for Sale Amount. The variable represents product purchase amounts from an organization's e-commerce website.
How do you want the decision tree algorithm to treat this variable?

A) Classification = Measure & Model Type = Discrete
B) Classification = Category & Model Type = Discrete
C) Classification = Category & Model Type = Continuous
D) Classification = Measure & Model Type = Continuous

3. How is the KS Statistic typically used when interpreting an ROC chart?

A) To measure the area under the ROC curve
B) To evaluate the overall performance of a classification model
C) To assess the balance between sensitivity and specificity
D) To identify the optimal prediction cut-off threshold

4. What can be interpreted from the Summary Table for model comparison, including statistics and variable importance?

A) Model performance metrics and their relative importance
B) The correlation matrix of predictor variables
C) The number of iterations performed by each model
D) The distribution of predictor variables

5. How can score code be implemented to score new data using SAS Enterprise Miner?

A) By creating a scoring node in a SAS Enterprise Miner process flow
B) By pasting the code into a web browser
C) By manually executing the code in a command-line interface
D) By importing the code into SAS Data Integration Studio

Solutions: