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Home Bivariate Data Correlation Distribution of the Correlation Coefficient
See also: correlation coefficient, random variable, chance correlation, testing the significance of r 
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Distribution of the Correlation Coefficient

It should be noted that the correlation coefficient r is a random variable, thus having a distribution function which depends on the population value of the correlation coefficient ρand the number of samples n.

From the images above one can conclude that for a small number of observations it is quite likely that the correlation coefficient is high. A high correlation coefficient does not necessarily represent a high correlation between two variables. Especially with four sample values, any correlation coefficient is equally likely to occur. You may test this phenomenon yourself by starting the following  interactive example .

As a consequence of this effect, one has to test for the significance of a correlation coefficient.

Home Bivariate Data Correlation Distribution of the Correlation Coefficient

Last Update: 2010-12-17