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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Which of the following tasks in SAS Visual Analytics involves reducing the granularity of categorical data?

A) Aggregating a measure
B) Imputing a variable
C) Transforming a variable
D) Creating a dummy variable

2. How is the KS Statistic typically used when interpreting an ROC chart?

A) To identify the optimal prediction cut-off threshold
B) To measure the area under the ROC curve
C) To evaluate the overall performance of a classification model
D) To assess the balance between sensitivity and specificity

3. What conditions might make models less comparable in SAS Visual Statistics?

A) If they use the same dataset and response variable
B) If they have similar AUC values
C) If they are both logistic regression models
D) If they have different learning rates

4. What does the interactive group-by feature in SAS Visual Analytics allow you to do?

A) Create subgroups within the group-by variable
B) Interactively explore different levels of the group-by variable
C) Apply group-by modeling to multiple measures simultaneously
D) Dynamically change the group-by variable during analysis

5. Which statement is true for negative binomial and Poisson regression models?

A) The canonical link function for Poisson regression is the log, while for negative binomial it is the logit.
B) Negative binomial models accommodate negative integers while Poisson regression does not.
C) Poisson regression models are used for count data, and negative binomial models are used for binary responses.
D) Poisson regression is a special case of negative binomial regression.

Solutions: