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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. What is the primary purpose of specifying the link function in logistic regression?

A) To control the significance level of predictor variables
B) To determine the distribution of the response variable
C) To ensure that all predictor variables are used
D) To establish the relationship between the linear predictor and the probability of an event

2. When creating a Linear Regression, Category Variables can be used for Classification Effects and

A) Group-by
B) Frequency
C) Response
D) Continuous Effects

3. Refer to the fit summary from in the exhibit below.

What can be concluded from the fit summary?

A) Debt to income ratio is a significant predictor when Job Type = Sales.
B) Debt to income ratio is a significant predictor when Job Type = Mgr.
C) Job Type is not a significant predictor in this model.
D) Job Type = Office has no important variables associated with it.

4. How are predictions formulated for a decision tree when a new data point is presented to the model?

A) By using a weighted sum of all decision rules in the tree
B) By calculating the Euclidean distance to all tree nodes and selecting the closest one
C) By following a path through the tree to a leaf node and returning the majority class or mean value of that node
D) By averaging the values of all leaf nodes

5. You have a regression model effect that represents the total amount of sales. In addition to that, you would like to create a model effect that represents the average amount of sales.
Which option should you use?

A) Create an aggregated measure using the Avg aggregation on total amount of sales.
B) Create a calculated item that divides total amount of sales by the total amount of items sold.
C) Create a calculated item by duplicating the original model effect and changing its default aggregation to Average.
D) Create an aggregated measure using the Sum aggregation of total amount of sales divided by the Sum aggregation of total amount of items sold.

Solutions: