SLR – Final Examples

NOTE: Except in cases of complex calculations, we use brackets [ ] to indicate “functions of” and parentheses ( ) to indicate “multiplication.”

SE[Beta_1-hat] = the standard error of the estimated slope Beta_1-hat. There is no multiplication!

Beta_1-hat(AGE) = the multiplication of estimated slope Beta_1-hat and the variable AGE.

Introduction and Links to Materials

In this unit, we have covered simple linear regression in more detail than we did in the pre-requisite course and begin using PROC GLM instead of PROC REG.

The output and code are extremely similar so please continue to review the following materials and tutorials from PHC 6052 as needed.

Review from 6052 Materials: 

SAS Tutorials:

Useful SAS Procedures


Here are the links to the main lesson pages for all of the materials from Penn State STAT 501 we assigned in this Unit. To dig deeper, follow the links on the left in their menu system or return to the appropriate previous page in our materials.

Review Penn State materials with a focus on the definitions, concepts, and interpretations. You do not need to understand the mathematical details or be able to calculate regression models by hand (although you are expected to be able to work with models and ANOVA tables requiring simple mathematical calculations).

PHC 6053 Videos (28:04)

Final Example (13:20)

Here is the first set of examples again. Now is a good time to review this!

SLR Introductory Example (14:44)

Examples and Learn by Doing Activities

Here are some results based upon generated data.

EXAMPLE: Fake Data for Regression


  • Using these regression results, discuss the validity of assumptions for each analysis. (You do not need to say anything about independent errors.)