Linear Models and Regression

This chapter considers computing observed confidence levels for problems that occur in linear regression and linear models. The theory developed in the chapter focuses on regression models. Examples will demonstrate how problems from general linear models, including the one way layout, the randomized complete block design, and seemingly unrelated regressions can be considered within an extended regression framework, or within the general multiple parameter framework of Chapter 3.