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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. When performing decision tree analysis in SAS Visual Statistics, how does the property setting for
"include missing" modify the usage of missing values within categorical discrete predictors?

A) assigns its own level
B) imputes the median of the predictor's known values
C) imputes the mean of the predictor's known values
D) assigns the smallest available machine value

2. What does adding an interaction effect in linear regression modeling allow you to capture?

A) The joint impact of two or more predictors on the response variable
B) The presence of outliers in the data
C) The effect of missing data on the model
D) The multicollinearity among predictors

3. 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) Variable Importance
C) Visualization of model residuals
D) Fit statistics such as AIC and BIC

4. You want to use a generalized linear model to predict donation amount from a set of demographics predictors. Donation amount is known to be right-skewed, with many non-donors (donation amount = 0).
Which settings in the Generalized Linear Model task are most appropriate for modeling this response?

A)

B)

C)

D)

5. You would like to see the minimum and maximum values for all of your measures so that you can filter variables as needed.
Which is the most efficient way to do that?

A) Create aggregated measures using the Min and Max aggregations.
B) Select View Measure Details within the Actions menu to the right of the dataset name.
C) Create a calculated item subtracting the Min aggregation from the Max aggregation.
D) Select a histogram object for each measure.

Solutions: