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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. What is unsupervised classification in the context of cluster analysis?

A) Assigning predefined labels to data points
B) Using a decision tree for data classification
C) Grouping similar data points together without predefined labels
D) Creating a scatter plot of data points

2. What information can you interpret from a Cluster Matrix?

A) The number of data points in each cluster
B) The order of cluster creation
C) The proximity or similarity between clusters
D) The cluster centroids

3. Refer to the exhibit from SAS Visual Statistics:

What can be concluded from the lift plot shown in the exhibit?

A) The 20% of cases with the lowest predicted probability of the modeled event level is predicted to capture 2.75 times as many events as a random sample of 20%.
B) The 20% of cases with the highest predicted probability of the modeled event level is expected to capture 2.75 times as many events as a random sample of the same size.
C) The response rate for the best 20% is predicted to increase 5 times under the fitted model.
D) The response rate for the best 20% is predicted to be 2.75 times greater than the sample fitted in the model.

4. When should you replace dirty data with missing values in SAS Visual Analytics?

A) When the data is incorrect or invalid
B) When you want to remove missing values
C) When the data contains outliers
D) When you want to create a new variable

5. How can you assign a group-by variable to a predictive model in SAS Visual Analytics?

A) Drag and drop the group-by variable into the predictor field of the model
B) Specify the group-by variable in the data source properties
C) Click on the group-by variable and choose "Assign as predictor" from the context menu
D) Select the group-by variable from a dropdown menu in the model settings

Solutions: