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

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