Premium
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