Overview

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.
Last updated: January 8, 2019