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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. When setting proper inputs for the k-means algorithm, what parameter represents the number of clusters to create?

A) K-value
B) Learning rate
C) Cluster centroid initialization
D) Random seed

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

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

3. What are the essentials of logistic regression?

A) Modeling binary or ordinal outcomes
B) Using the logit link function to model the probability of an event
C) Estimating probabilities of categorical outcomes
D) Assuming a linear relationship between predictors and response

4. In SAS Visual Statistics, how can you use a derived cluster ID variable in another visualization?

A) By embedding it within a scatter plot
B) By exporting it as a separate dataset
C) By linking it to a table in a database
D) By including it as a dimension in a new visualization

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

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

Solutions: