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## Coefficient of Determination

- By squaring the correlation coefficient, you get the amount of variance accounted for between the two data sets. This is called the
**coefficient of determination**.
- IOW: a correlation of .90 would represent 81% of the variance between the two sets of data. (.90 X .90 = 0.81)
- A perfect correlation of 1.00 represents 100% of the variance. If you know one variable, you can predict the other variable 100% of the time. (1.00 X 1.00 = 1.00)
- A correlation of .30 represents only 9% of the variance, strongly suggesting that other factors are involved. (.30 X .30 = .09)