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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Refer to the exhibit:

A retailer wants to use a decision tree to select one segment to mail 35,000 coupons to existing customers for a new line of organic products.
Assuming that customers who have purchased organic products in the past are likely to want new organic products in the future, select the single best Leaf ID for the mailing.

A) 18
B) 12
C) 15
D) 17

2. When interpreting a Residual Plot, what does it reveal about the model's performance?

A) The p-values associated with the predictor variables
B) The presence of any outliers or patterns in prediction errors
C) The distribution of predictor variables in the dataset
D) The linear relationship between predictors and the response

3. What do cluster properties refer to in the context of cluster analysis?

A) A measure of data point centrality
B) Descriptive statistics of individual data points
C) Characteristics shared by data points within a cluster
D) The number of clusters in the analysis

4. In SAS Visual Analytics, what can you use to choose the best fitting group-by model?

A) Group-by variable with the highest p-value
B) Fit statistics such as AIC and BIC
C) Visualization of model residuals
D) Variable Importance

5. Refer to the exhibits:
Exhibit 1:

Exhibit 2:

An analyst has created a cluster model based on the settings in Exhibit 1 and chose to derive a cluster ID variable.
Why are there 5 cluster IDs in Exhibit 2 based on these settings?

A) Variable Standardization has been chosen.
B) There are observations with missing values.
C) Parallel Coordinates Visible Roles setting is 5.
D) Cluster Matrix Visible Roles setting is 5.

Solutions: