Abstract
This chapter highlights important steps in using correlation and simple linear regression to address scientific questions about the association of two continuous variables with each other. These steps include estimation and inference, assessing model fit, the connection between regression and ANOVA, and study design. Examples in microbiology are used throughout. This chapter provides a framework that is helpful in understanding more complex statistical techniques. such as multiple linear regression, linear mixed effects models, logistic regression, and proportional hazards regression.
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© 2007 Humana Press Inc., Totowa, NJ
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Eberly, L.E. (2007). Correlation and Simple 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_8
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DOI: https://doi.org/10.1007/978-1-59745-530-5_8
Publisher Name: Humana Press
Print ISBN: 978-1-58829-531-6
Online ISBN: 978-1-59745-530-5
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