Multiple Linear Regression
- 1 January 2007
- book chapter
- review article
- Published by Springer Science and Business Media LLC
- Vol. 404, 165-187
- https://doi.org/10.1007/978-1-59745-530-5_9
Abstract
This chapter describes multiple linear regression, a statistical approach used to describe the simultaneous associations of several variables with one continuous outcome. Important steps in using this approach include estimation and inference, variable selection in model building, and assessing model fit. The special cases of regression with interactions among the variables, polynomial regression, regressions with categorical (grouping) variables, and separate slopes models are also covered. Examples in microbiology are used throughout.Keywords
This publication has 2 references indexed in Scilit:
- Bayesian Data AnalysisPublished by Taylor & Francis Ltd ,2003
- Regression Modeling StrategiesPublished by Springer Science and Business Media LLC ,2001