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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. In generalized linear models, what is the purpose of the link function?

A) To determine the distribution of the response variable
B) To calculate the p-values of predictor variables
C) To specify the relationship between the predictor and response variables
D) To adjust the model for multicollinearity

2. What information can you gather from Leaf statistics in a decision tree analysis?

A) The total number of data points in each leaf node
B) The tree's overall accuracy and error rate
C) The distribution of target variable values in each leaf node
D) The tree's decision rules for each leaf node

3. Which statement is correct about using a multinomial response variable (with 3 or more levels) in the logistic regression task in SAS Visual Statistics?

A) The resulting model is a binary logistic regression model with a selected level as the event.
B) The resulting model is an ordinal logistic regression model with the lowest level of the response as the reference.
C) You cannot assign a response variable with 3 or more levels to the logistic regression visualization.
D) The resulting model is a multinomial logistic regression model with a generalized logit link.

4. Which model does not produce score code?

A) Decision Tree using interactive mode
B) Regression using the group by option
C) Decision Tree using the rapid growth option
D) Regression using interaction effects

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

Solutions: