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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. In logistic regression modeling, how is the probability of an event typically estimated?

A) By applying the link function to the linear predictor
B) By assigning roles to variables
C) By fitting a linear regression model to the data
D) By calculating the mean of the predictor variables

2. Interactions can be created and added to a linear regression model.
Which statement is true about interactions?

A) Each interaction is limited to 3 effects or fewer.
B) The maximum number of interactions allowed in a model is 3.
C) An interaction can be created for a squared category variable.
D) Measures and categories can be combined to create an interaction.

3. Prior to fitting a regression model, data binning of a continuous effect should be used for what purpose?

A) Reduce the cardinality of a continuous effect.
B) Reduce the impact of minor observation errors.
C) Gain information due to discretization.
D) Improve the accuracy of your predictions.

4. What do cluster properties refer to in the context of cluster analysis?

A) Descriptive statistics of individual data points
B) The number of clusters in the analysis
C) A measure of data point centrality
D) Characteristics shared by data points within a cluster

5. In SAS Visual Analytics, which of the following tasks involves converting a categorical variable into a numerical one?

A) Aggregating a measure
B) Transforming a variable
C) Creating a dummy variable
D) Replacing dirty data

Solutions: