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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Refer to the exhibits:


An analyst is evaluating which model to use.
What changed from Comparison 1 to Comparison 2 to select a different champion model?

A) Percentile changed from 5th percentile to 40th percentile
B) Prediction Cutoff reduced from .5 to .19
C) Misclassification was used instead of Cumulative Lift
D) Analyst clicked on Model 2 to highlight it

2. What are some properties that can be defined in a linear regression model?

A) Confusion matrix and accuracy
B) Coefficients, p-values, and R-squared
C) Learning rate and number of iterations
D) Maximum depth and minimum leaf size

3. An analyst wants to limit data to a certain demographic and build a decision tree model.
Which approach should the analyst take?

A) Create a report filter.
B) Create an SQL query from the filters tab.
C) Create a new data hierarchy.
D) Create a new ranks variable on age and sort descending on that variable.

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

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

5. Which modeling technique automatically includes missing values?

A) Logistic regression
B) Generalized linear model
C) Linear regression
D) Decision tree

Solutions: