Chapter One
Review of Ordinary Linear Regression and Its Assumptions

1.1 THE ORDINARY LINEAR REGRESSION EQUATION AND ITS ASSUMPTIONS
A linear regression equation can be alternatively specified as

(1.1) [y.sub.i] = [ß.sub.0] + [ß.sub.1][x.sub.i] + [[element of].sub.i] or
[µ.sub.y|x] = [ß.sub.0] + [ß.sub.1]x or
E(y|x) = [ß.sub.0] + [ß.sub.1]x
to describe the quantitative relationship between a single predictor x and an outcome y. In the population health research projects described in the Introduction, y may be a measured GHb or the score of a very low birth weight (VLBW) child on a test, or the systolic blood pressure ( ... read full excerpt from Quantitative Methods in Population Health: Extensions of Ordinary Regression ebook