Pearson's r is a correlation coefficient used to measure the strength of association between two variables that fall into the interval ratio category. Interval ratio variables are those which have a numerical value and can be placed in rank order. This coefficient is used in statistics. There are other correlation coefficient equations, such as correlation determination, but the Pearson's r formula is most commonly used.

The answer can be positive or negative. The positive or negative shows the direction of the relationship. The closer the answer is to -1 or +1 the stronger the relationship is between the variables.

If you are given the variances instead, you will need to use the following formula: r2 = covariance squared/(variance x)(variance y). Square root the answer. You will need to add a negative sign if the original covariance in the equation was negative.

View the following given information as an example:

Covariance = 22.40

Standard deviation x = 9.636

Standard deviation y = 3.606

Plug the given information into the following equation:

Pearson's Correlation Coefficient r = covariance/(standard deviation x)(standard deviation y) or use r = Sxy/(S2x)(S2y).

The result with the example is:

r = 22.40/(9.636)(3.606)

Calculate r = 22.40/(9.636)(3.606)

r = 22.40/34.747

r = .6446

r = .65 (round to two digits)

#### Tips

#### Warnings

#### References

#### Photo Credits

- BananaStock/BananaStock/Getty Images