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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q80-Q85):

NEW QUESTION # 80
What can you interpret from the Assessment panel in a decision tree analysis?

A. The decision boundaries between leaf nodes
B. The feature importance for each variable in the tree
C. The tree's structural properties, such as depth and number of nodes
D. The tree's training and validation performance metrics

Answer: D

NEW QUESTION # 81
In the context of assessing model results, what information can be interpreted from the Fit Summary window?

A. A summary of the model's goodness of fit and performance metrics
B. A list of all predictor variables used in the model
C. A detailed description of the data preprocessing steps
D. The distribution of the response variable in the dataset

Answer: A

NEW QUESTION # 82
In SAS Visual Analytics, what can you use to exclude selections and filter data in a visualization?

A. Interactive filters in the visualization
B. Exclude option in filter dialogs
C. Filtering using the toolbar options
D. Filter containers

Answer: A,B

NEW QUESTION # 83
Which statement is true regarding model comparison within SAS Visual Statistics?

A. A logistic regression and a decision tree cannot be compared.
B. Two generalized linear models cannot be compared if they use different underlying distributions.
C. Two cluster analyses cannot be compared if they have different initial seed assignments.
D. A linear regression and a generalized linear model cannot be compared.

Answer: C

NEW QUESTION # 84
How are predictions formulated for a decision tree when a new data point is presented to the model?

A. By using a weighted sum of all decision rules in the tree
B. By calculating the Euclidean distance to all tree nodes and selecting the closest one
C. By following a path through the tree to a leaf node and returning the majority class or mean value of that node
D. By averaging the values of all leaf nodes

Answer: C

NEW QUESTION # 85
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