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.
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© 2007 Humana Press Inc., Totowa, NJ
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Eberly, L.E. (2007). Multiple Linear Regression. In: Ambrosius, W.T. (eds) Topics in Biostatistics. Methods in Molecular Biology™, vol 404. Humana Press. https://doi.org/10.1007/978-1-59745-530-5_9
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DOI: https://doi.org/10.1007/978-1-59745-530-5_9
Publisher Name: Humana Press
Print ISBN: 978-1-58829-531-6
Online ISBN: 978-1-59745-530-5
eBook Packages: Springer Protocols