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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. When exporting score code, what information is typically included in the code?

A) The model parameters and coefficients
B) The distribution of the response variable
C) The entire training dataset
D) Instructions for preprocessing new data

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

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

3. Refer to the exhibit:

A cluster has been created with four variables selected on the roles tab.
Select the set of Parallel Coordinates Properties that would display the image in the exhibit.

A)

B)

C)

D)

4. What is the primary purpose of modeling effects in linear regression?

A) To identify outliers in the data
B) To calculate the p-values of the predictors
C) To capture the relationship between predictors and the response variable
D) To assess multicollinearity among predictors

5. What information can you gather from Leaf statistics in a decision tree analysis?

A) The total number of data points in each leaf node
B) The tree's decision rules for each leaf node
C) The tree's overall accuracy and error rate
D) The distribution of target variable values in each leaf node

Solutions: