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The **coefficient of determination**, often denoted R^{2}, is the proportion of variance in the response variable that can be explained by the predictor variables in a regression model.

This calculator finds the coefficient of determination for a given regression model.

Simply enter a list of values for x (the predictor variable) and y (the response variable) in the boxes below, then click the “Calculate” button:

**x (Predictor Variable)**

**y (Response Variable)**

Coefficient of Determination (R^{2}): 0.8368

Interpretation: 83.68% of the variation in the response variable can be explained by the predictor variable.

Helpful Resource: What is Considered a Good R-Squared Value?