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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:    The formula for R is:     Correlation and Regression Analysis are both covered in the MiC Quality course in Advanced Statistics Try out our courses by taking the first module of the Primer in Statistics free of charge. [SIX SIGMA GLOSSARY ALPHABETICAL INDEX] [SIX SIGMA GLOSSARY INDEX OF TOPICS] [Top]

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