Categorized or continuous? Strength of an association – and linear regression | Zendy

Drummond Gordon B. | Zendy; Vowler Sarah L. | Zendy

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Categorized or continuous? Strength of an association – and linear regression

Author(s) -

Drummond Gordon B.,

Vowler Sarah L.

Publication year - 2012

Publication title -

the journal of physiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.802

H-Index - 240

eISSN - 1469-7793

pISSN - 0022-3751

DOI - 10.1113/jphysiol.2012.232488

Subject(s) - linear regression , proper linear model , statistics , regression analysis , regression , regression diagnostic , segmented regression , linear predictor function , mathematics , factor regression model , correlation , cross sectional regression , standardized coefficient , regression dilution , bayesian multivariate linear regression , variables , geometry

Key points • Correlation and regression are used with continuous variables • Plot the variables in correlation and regression relationships to aid interpretation • An association between two discrete measurements is assessed by correlation • Regression describes and quantifies a relationship between an independent factor and a dependent variable; prediction is also possible • Few biological relationships are truly linear • Regression can be distorted by outlying values • Absence of a linear regression does not mean a relationship is not present • Regression is very frequently misused and mis‐applied

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