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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Refer to the exhibit:

Prior to performing a decision tree analysis, you need to assess the default Values of Classification and Model Type Properties for Sale Amount. The variable represents product purchase amounts from an organization's e-commerce website.
How do you want the decision tree algorithm to treat this variable?

A) Classification = Category & Model Type = Discrete
B) Classification = Category & Model Type = Continuous
C) Classification = Measure & Model Type = Continuous
D) Classification = Measure & Model Type = Discrete

2. When applying interactive group-by in SAS Visual Analytics, what happens when you select a specific group?

A) The measures are aggregated for the selected group
B) The other groups are temporarily hidden from the visualization
C) The selected group is highlighted within the visualization
D) The visualization updates to show data only for the selected group

3. Select the best distribution to model with linear regression.

A)

B)

C)

D)

4. Refer to the exhibit:

Based on the Validation Data in the Model Comparison output which conclusions are valid? (Choose two.)

A) Logistic Regression model would be selected at lift=20
B) Logistic Regression model would be selected at lift=5
C) Decision Tree model would be selected at lift=5
D) Decision Tree model would be selected at lift=20

5. 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

Solutions: