SASInstitute A00-485 : Modeling Using SAS Visual Statistics

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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. In the below nonparametric logistic regression results display, where would you click to get a plot of significant continuous effects?

2. What is the purpose of implementing score code generated by SAS Visual Statistics?

A) To calculate the p-values of predictor variables
B) To apply the trained model to new data for predictions
C) To assess the distribution of residuals in the model
D) To evaluate the performance of the scoring code

3. Refer to the exhibit:

How many predictor variables would be included in the score code produced by this model?

A) 7
B) 8
C) 5
D) 13

4. How can you interpret the impurity measures in an icicle plot of a decision tree?

A) Higher impurity indicates better separation of classes.
B) Impurity measures are irrelevant in decision tree analysis.
C) Lower impurity implies more homogeneity within a leaf node.
D) Impurity measures represent the number of data points in a leaf node.

5. What are the roles that can be assigned in a generalized linear model (GLM)?

A) Predictor
B) Target
C) Offset
D) Intercept

Solutions: