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

2. You would like to see the minimum and maximum values for all of your measures so that you can filter variables as needed.
Which is the most efficient way to do that?

A) Select a histogram object for each measure.
B) Select View Measure Details within the Actions menu to the right of the dataset name.
C) Create aggregated measures using the Min and Max aggregations.
D) Create a calculated item subtracting the Min aggregation from the Max aggregation.

3. The Leaf size property within a decision tree is changed from 5 to 10 and no other stopping rules were met.
How will the tree change?

A) The tree will be simpler.
B) The tree will be harder to interpret.
C) The tree will be more complex.
D) The tree will train more slowly.

4. What is the primary purpose of reviewing the residual plot in linear regression analysis?

A) To determine the p-value associated with the response variable
B) To detect outliers in the predictor variables
C) To calculate the coefficient of determination (R-squared)
D) To assess the linearity assumption and identify potential issues

5. Cluster Analysis in SAS Visual Statistics is categorized as which type of machine learning?

A) Unsupervised learning
B) Reinforcement learning
C) Semi-supervised learning
D) Supervised learning

Solutions: