- Typically noted as R
^{2}_{yx}or R-squared in the stats report. - This value measures the percentage of variation in Y that is explained by the model and will be between 0 and 1 (and not to be confused with the Correlation Coefficient which will be between -1 and 1).
- Example: a coefficient of determination/R-squared = .80 would mean that 80% of the variation in dependent Y variable is explained by the model’s regression equation.
- For single variable/simple regression, the coefficient of determination equals the square of the data sample’s correlation coefficient.

The following video from Khan Academy explains the calculation of the Coefficient of Determination.

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