This is a brief overview of using SAS Visual Statistics to
derive a new variable, create two different models, and compare those models. This example
uses the Framingham Heart Study
data set, located in SASHELP.HEART, to compare the performance of a Linear Regression model
and a Generalized Linear Model. The goal is to predict a person’s age of death based
on a collection of health factors. These factors include gender, weight, height, whether
the person is a smoker, blood pressure, and more. The focus of this example is how
to use SAS Visual Statistics, not how to build the best model.
This example assumes that you have access to the SASHELP.HEART data set. It is beyond
the scope of this example to provide instructions about how to access
individual data sets at your location. Your system administrator should be able to
provide you access to this data set.