… the correlation as a coefficient of determination or a percentage … correlation provides a
coefficient of determination. Similarities … (1936) as the coefficient of determination, is interpreted as …

… A generalization of the coefficient of determination R2to general regression models is
discussed. A modification of an earlier definition to allow for discrete models is proposed. …

Coefficient of Determination (R2) - Di Bucchianico - 2007 - Major Reference Works - Wiley
Online Library … Coefficient of determination is a goodness-of-fit measure for models based …

… We briefly review the coefficient of determination, R2, as a measure of goodness of fit and
as a measure of precision in predictions for the general linear model as described by Draper …

… least-squares fit and coefficient of determination can be arbitrary and/… a companion robust
coefficient of determination that has … of the population coefficient of determination. A simulation …

… In the next section, we introduce our definition of coefficient of determination, assuming only
mean and variance functions are well-specified. We also propose an adjustment to account …

… as the coefficient of determination, R2, or its square root, the coefficient of multiple correlation,
which can be generated by many computer programs. The coefficient of determination, its …

… The well-known R2 statistic, or the (multiple) coefficient of determination, pertains to the
proportion of variance in the response variable explained by a fitted model relative to simply …

… truth group has been correctly predicted: the coefficient of determination (also known as R-…
Our results demonstrate that the coefficient of determination (R-squared) is more informative …

… The resulting coefficient of determination provides an … a coefficient of determination as the
percentage of variance shared by the two sets of numbers. So, a coefficient of determination of .…