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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. You want to fit a Poisson regression and use the log link function to predict skin cancer from weather, pollution, and demographic variables. Each row in the data is a geographic region.
The response, Melanoma, is stored as the number of melanoma skin cancer cases in each region.
Because some regions have many people and some have few, your data also includes a variable with the region population.
What is the best way to include population in this model?

A) Add Population as an effect.
B) Add Population as an offset.
C) Add the log of Population as an offset.
D) Add the log of Population as an effect.

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

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

3. How can you interpret a Parallel Coordinates plot in cluster analysis?

A) It provides a summary of cluster statistics.
B) It shows the distribution of data within a cluster.
C) It displays the hierarchical structure of clusters.
D) It visualizes the relationship between clusters.

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

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

5. How can you derive a leaf ID for use in other models or analyses based on a decision tree?

A) By concatenating the decision rules leading to a leaf node
B) By calculating the distance between data points and leaf nodes
C) By extracting the node IDs of all leaf nodes
D) By applying a clustering algorithm to leaf node values

Solutions: