This book focuses on tools and techniques for building regression
models using real-world data and assessing their validity. A key
theme throughout the book is that it makes sense to base inferences
or conclusions only on valid models. Plots are shown to be an
important tool for both building regression models and assessing
their validity. We shall see that deciding what to plot and how
each plot should be interpreted will be a major challenge. In order
to overcome this challenge we shall need to understand the
mathematical properties of the fitted regression models and
associated diagnostic procedures. As such this will be an area of
focus throughout the book. In particular, we shall carefully study
the properties of resi- als in order to understand when patterns in
residual plots provide direct information about model
misspecification and when they do not. The regression output and
plots that appear throughout the book have been gen- ated using R.
The output from R that appears in this book has been edited in
minor ways. On the book web site you will find the R code used in
each example in the text.
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