2025 Exam A00-485 Preparation | Excellent 100% Free Test Modeling Using SAS Visual Statistics Prep

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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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SASInstitute Exam A00-485 Preparation | Useful SASInstitute Test A00-485 Prep: Modeling Using SAS Visual Statistics

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