Abstract
The idea of multiple regression is that rather than just having a single predictor, a model built on multiple predictors may well allow us to more accurately understand a particular system. As in Chapter 13, we will still focus overall on linear models—we will simply have a new goal to increase our number of predictors. Also as before, we save for other texts a focus on the behind-the-scenes mathematics; our goal is to conceptually explore the methods of using and understanding multiple regression. Having offered this caveat, however, doesn’t free us from taking just a little bit of a look at some of the math that power these types of models.
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© 2015 Dr. Joshua F. Wiley and the estate of Larry A. Pace
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Wiley, J.F., Pace, L.A. (2015). Chapter 14: Multiple Regression. In: Beginning R. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-0373-6_14
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DOI: https://doi.org/10.1007/978-1-4842-0373-6_14
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-0374-3
Online ISBN: 978-1-4842-0373-6
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