Correlation and simple linear regression.

Research output: Contribution to journalReview articlepeer-review

7 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)143-164
Number of pages22
JournalMethods in molecular biology (Clifton, N.J.)
Volume404
DOIs
StatePublished - 2007

Fingerprint Dive into the research topics of 'Correlation and simple linear regression.'. Together they form a unique fingerprint.

Cite this