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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q79-Q84):
NEW QUESTION # 79
When investigating leaf nodes in a decision tree, what does it reveal about the data?
- A. The feature values associated with each leaf node
- B. The statistical significance of each leaf node
- C. The decision rules leading to each leaf node
- D. The class labels assigned to each leaf node
Answer: A,C,D
NEW QUESTION # 80
You want to use a generalized linear model to predict donation amount from a set of demographics predictors. Donation amount is known to be right-skewed, with many non-donors (donation amount = 0).
Which settings in the Generalized Linear Model task are most appropriate for modeling this response?
- A.
- B.
- C.
- D.
Answer: A
NEW QUESTION # 81
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 a new data hierarchy.
- C. Create a new ranks variable on age and sort descending on that variable.
- D. Create an SQL query from the filters tab.
Answer: A
NEW QUESTION # 82
In decision tree modeling, what is the purpose of setting a minimum split count?
- A. To determine the maximum depth of the tree
- B. To specify the minimum number of data points required to perform a split
- C. To control the learning rate of the model
- D. To prevent any splits in the tree
Answer: B
NEW QUESTION # 83
When performing linear regression modeling, what is the primary goal of assessing multicollinearity among predictors?
- A. To ensure that predictor variables are not highly correlated
- B. To identify influential outliers
- C. To calculate the coefficient of determination (R-squared)
- D. To detect non-linear relationships
Answer: A
NEW QUESTION # 84
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