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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. 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)

2. In logistic regression modeling, how is the probability of an event typically estimated?

A) By applying the link function to the linear predictor
B) By assigning roles to variables
C) By fitting a linear regression model to the data
D) By calculating the mean of the predictor variables

3. How can predicted values be derived and described in terms of predicted probabilities in SAS Visual Statistics?

A) By summing the residuals of the model
B) By applying the link function to the linear predictor
C) By fitting a linear regression model to the data
D) By calculating the mean of the predictor variables

4. What is the purpose of setting Parallel Coordinate properties for a cluster in SAS Visual Statistics?

A) To determine the cluster's centroid
B) To visualize the distribution of data within the cluster
C) To assign labels to the cluster's variables
D) To create a scatter plot of data points

5. What are decision tree properties that can be defined during model construction?

A) The number of neighbors in a k-nearest neighbors model
B) The minimum number of data points in a leaf node
C) The maximum depth of the tree
D) The learning rate for gradient boosting

Solutions: