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Beginning R pp 139-161 | Cite as

Chapter 14: Multiple Regression

  • Joshua F. Wiley
  • Larry A. Pace

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.

Keywords

Geometric Object Data Frame General Social Survey Smoothing Method Warning Message 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Dr. Joshua F. Wiley and the estate of Larry A. Pace 2015

Authors and Affiliations

  • Joshua F. Wiley
    • 1
  • Larry A. Pace
    • 1
  1. 1.IndianaUSA

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