SASInstitute A00-485 : Modeling Using SAS Visual Statistics

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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

Question #1
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 more complex.
B. The tree will be simpler.
C. The tree will train more slowly.
D. The tree will be harder to interpret.

Question #2
What is the primary purpose of concordance statistics in model comparison?

A. To calculate the p-values of predictor variables
B. To evaluate the relationship between two predictor variables
C. To measure the balance between sensitivity and specificity
D. To assess the multicollinearity among predictors

Question #3
When evaluating a Misclassification plot, what does it typically show?

A. The distribution of predictor variables in the dataset
B. The trade-off between false positives and false negatives at different thresholds
C. The relationship between two predictor variables
D. The p-values associated with the predictor variables

Question #4
In linear regression, what does a high p-value for a predictor variable suggest?

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

Question #5
What does a Group-by Variable enable you to do in SAS Visual Statistics?

A. Fit a model for each data segment defined by one or more category variables.
B. Fit a model for every value of a measure's distribution.
C. Use variable selection.
D. Leverage informative missingness for measure and category variables.

Solutions: