TY - JOUR
T1 - Correlation and simple linear regression.
AU - Eberly, Lynn E.
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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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UR - http://www.scopus.com/inward/citedby.url?scp=43749107528&partnerID=8YFLogxK
U2 - 10.1007/978-1-59745-530-5_8
DO - 10.1007/978-1-59745-530-5_8
M3 - Review article
C2 - 18450049
AN - SCOPUS:43749107528
SN - 1064-3745
VL - 404
SP - 143
EP - 164
JO - Methods in molecular biology (Clifton, N.J.)
JF - Methods in molecular biology (Clifton, N.J.)
ER -