SASInstitute A00-485 : Modeling Using SAS Visual Statistics

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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. You would like to build a cluster analysis using several variables related to demographics. You noticed that the variable Inferred HH Education is a nominal variable with values of "High School Grad",
"College Grad", etc.
Which action allows you to incorporate this variable in the cluster analysis without returning a warning?

A)

B)

C)

D)

2. Interactions can be created and added to a linear regression model.
Which statement is true about interactions?

A) The maximum number of interactions allowed in a model is 3.
B) Measures and categories can be combined to create an interaction.
C) An interaction can be created for a squared category variable.
D) Each interaction is limited to 3 effects or fewer.

3. What does the Variable Importance feature help with when choosing the best fitting group-by model?

A) Understanding the distribution of the target variable
B) Assessing the significance of each predictor
C) Evaluating the multicollinearity among predictors
D) Identifying the most influential predictors

4. What are some features of model comparison in SAS Visual Statistics?

A) Identifying the best model based on a single metric
B) Evaluating model stability over time
C) Assessing the impact of predictor variables on model outcomes
D) Comparing the performance of different models

5. In decision tree modeling, what is the purpose of setting a minimum split count?

A) To prevent any splits in the tree
B) To determine the maximum depth of the tree
C) To specify the minimum number of data points required to perform a split
D) To control the learning rate of the model

Solutions: