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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q143-Q148):

NEW QUESTION # 143
When creating a Linear Regression, Category Variables can be used for Classification Effects and

A. Continuous Effects
B. Frequency
C. Response
D. Group-by

Answer: D

NEW QUESTION # 144
Given a scenario, what fit statistic can be used to select a champion model in model comparison?

A. The AUC (Area Under the Curve)
B. The p-value of the intercept term
C. The learning rate of the model
D. The R-squared value

Answer: A

NEW QUESTION # 145
When would you typically use a linear regression model instead of a generalized linear model (GLM)?

A. When there is no assumption of linearity in the data
B. When dealing with count data
C. When the goal is to model categorical outcomes
D. When the dependent variable is binary

Answer: A

NEW QUESTION # 146
What is one potential disadvantage of excessively deep decision trees?

A. Greater stability in the model
B. Overfitting to the training data
C. Increased interpretability
D. Faster prediction times

Answer: B

NEW QUESTION # 147
In SAS Visual Analytics, what can you use to exclude selections and filter data in a visualization?

A. Filtering using the toolbar options
B. Exclude option in filter dialogs
C. Filter containers
D. Interactive filters in the visualization

Answer: B,D

NEW QUESTION # 148
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