Relationship between Coefficient of Determination & Squared Pearson Correlation Coefficient

The usual way of interpreting the coefficient of determination R^{2} is to see it as the percentage of the variation of the dependent variable y (Var(y)) can be explained by our model. The exact interpretation and derivation of the coefficient of determination R^{2} can be found here.

Another way of interpreting the coefficient of determination R^{2} is to look at it as the Squared Pearson Correlation Coefficient between the observed values y_{i} and the fitted values  Continue reading Relationship between Coefficient of Determination & Squared Pearson Correlation Coefficient

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The Coefficient Of Determination or R2

The coefficient of determination R^{2} shows how much of the variation of the dependent variable y (Var(y)) can be explained by our model. Another way of interpreting the coefficient of determination R^{2}, which will not be discussed in this post, is to look at it as the squared Pearson correlation coefficient between the observed values y_{i} and the fitted values \hat{y}_{i}. Why this is the case exactly can be found in another post.

Continue reading The Coefficient Of Determination or R2