ABSTRACT
In Chapter 15 we convinced you that there's a need for hierarchical models. In Chapter 16 we built our first hierarchical model – a Normal hierarchical model of Y with no predictors X. Here we'll take the next natural step by building a Normal hierarchical regression model of Ywith predictors X. Going full circle, let's return to the Cherry Blossom 10 mile running race analysis that was featured in Chapter 15. Our goal is to better understand variability in running times: To what extent do some people run faster than others? How are running times associated with age, and to what extent does this differ from person to person?
