title: Statistics review 7: Correlation and regression.
abstract: The present review introduces methods of analyzing the relationship between two quantitative variables. The calculation and interpretation of the sample product moment correlation coefficient and the linear regression equation are discussed and illustrated. Common misuses of the techniques are considered. Tests and confidence intervals for the population parameters are described, and failures of the underlying assumptions are highlighted.
authors: Senior Lecturer, School of Computing, Mathematical and Information Sciences, University of Brighton, Brighton, UK. v.bewick@brighton.ac.uk
authors: Viv
authors: V
authors: Bewick
authors: Liz
authors: L
authors: Cheek
authors: Jonathan
authors: J
authors: Ball
mesh_terms: D000704:Analysis of Variance; D016001:Confidence Intervals; D016014:Linear Models