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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. In SAS Visual Analytics, which of the following tasks involves converting a categorical variable into a numerical one?

A) Aggregating a measure
B) Replacing dirty data
C) Transforming a variable
D) Creating a dummy variable

2. Refer to the exhibit:

Which is the modeling approach that should be used when fitting the Target Gift Amount variable?

A) Generalized linear model with a Normal distribution and Log Link.
B) Generalized linear model with a Poisson distribution and Identity link.
C) Logistic regression model.
D) Linear regression model with Interaction effects.

3. In linear regression, what does the coefficient of determination (R-squared) measure?

A) The impact of outliers on the model
B) The degree of multicollinearity among predictors
C) The goodness of fit of the model to the data
D) The p-value associated with the intercept term

4. 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) 17
B) 12
C) 18
D) 15

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

A)

B)

C)

D)

Solutions: