ABSTRACT
Regression analysis, in one form or another, is by far the most commonly employed statistical technique. This chapter begins to explore measurement error in regression contexts. While we could proceed right to multiple regression it is instructive to treat the simple linear model by itself first. This problem is of interest in its own right, but also allows us to introduce a number of the main features in a simple context, which also allows us to present some exact results in an easy way.
