The coefficient of determination, , is the square of the correlation coefficient, and describes the degree to which one variable can be predicted from another.
If = 0.8, then = 0.64 or 64%. This indicates that 64% of the variation in y (the dependent variable) can be explained by the variation in x (the independent variable). This means that 36% of the variation in the dependent variable will be explained by other factors other than the independent variable.
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