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

Another way of interpreting the coefficient of determination is to look at it as the Squared Pearson Correlation Coefficient between the observed values and the fitted values  Continue reading Relationship between Coefficient of Determination & Squared Pearson Correlation Coefficient →

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.

Continue reading The Coefficient Of Determination or R2 →