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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. When would you typically use a linear regression model instead of a generalized linear model (GLM)?

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

2. Refer to the exhibit:

Which option was not specified in creating the linear regression model using SAS Visual Statistics?

A) continuous effects
B) interaction term
C) variable selection
D) group-by variable

3. What is the primary purpose of scoring functionality in SAS Visual Statistics?

A) To select the best model for a given dataset
B) To evaluate model performance on a test dataset
C) To generate code for deploying models in production
D) To assess the distribution of predictor variables

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

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

5. What properties can be defined in a logistic regression model?

A) Coefficients and p-values
B) The distribution of the response variable
C) The learning rate
D) The number of iterations

Solutions: