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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

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

A) Poisson
B) Normal
C) Exponential
D) Logistic

2. In SAS Visual Analytics, what can you use to exclude selections and filter data in a visualization?

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

3. In linear regression, what does a high p-value for a predictor variable suggest?

A) The predictor has a strong linear relationship with the response.
B) The predictor is highly significant for the model.
C) The predictor is not relevant for the model.
D) The predictor is a categorical variable.

4. When investigating leaf nodes in a decision tree, what does it reveal about the data?

A) The feature values associated with each leaf node
B) The statistical significance of each leaf node
C) The class labels assigned to each leaf node
D) The decision rules leading to each leaf node

5. Which statement is correct about using a multinomial response variable (with 3 or more levels) in the logistic regression task in SAS Visual Statistics?

A) The resulting model is an ordinal logistic regression model with the lowest level of the response as the reference.
B) The resulting model is a multinomial logistic regression model with a generalized logit link.
C) The resulting model is a binary logistic regression model with a selected level as the event.
D) You cannot assign a response variable with 3 or more levels to the logistic regression visualization.

Solutions: