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The coefficient of determination, usually symbolized by $R^2$, is the proportion of the total response variance explained by a regression model. Can also be used for various pseudo R-squared proposed, for instance for logistic regression (and other models.)
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How much of a dependent variable is explained by each of a bunch of independent variables?
I determined the hierarchy of a small herd of milking cows. It is obvious that the rank of a given cow does highly depend on her age. Not as substantial as the age, but probably still quite meaningful …