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:: Home ::Six Sigma ::SIX SIGMA GLOSSARY: Coefficient of Correlation :: CURRENT STUDENTS LOGIN

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Coefficient of Correlation
 

The Coefficient of Correlation is used to express the strength of the relationship between two variables.

The coefficient of correlation has a value between -1 and +1. A coefficient of +1 means perfect positive correlation. A coefficient of -1 means perfect negative correlation (when one variable increases the other decreases). A coefficient close to zero means the variables are not related. Correlation is used in Regression Analysis.

The coefficient of correlation is conventionally called 'R'. Examples of values of R are:

R = 1
R = 0.5
R = -1
R = 0

The formula for R is:

correlation  equation

Sxx equation
Syy equation
Sxy equation
 

Correlation and Regression Analysis are both covered in the MiC Quality course in Advanced Statistics

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