In statistics, the coefficient of determination, denoted R2 or r2 and pronounced "R squared", is the proportion of the variation in the dependent variable...

disattenuation Coefficient of determination Correlation and dependence Correlation ratio Distance correlation Goodness of fit, any of several measures...

fixed mean of the dependent variable. The coefficient of multiple correlation is known as the square root of the coefficient of determination, but under...

coefficient (PCC) is a correlation coefficient that measures linear correlation between two sets of data. It is the ratio between the covariance of two...

In probability theory and statistics, the coefficient of variation (CV), also known as normalized root-mean-square deviation (NRMSD), percent RMS, and...

components), the Nash–Sutcliffe efficiency is equivalent to the coefficient of determination (R2), thus ranging between 0 and 1. In some applications such...

In statistics, Spearman's rank correlation coefficient or Spearman's ρ, named after Charles Spearman and often denoted by the Greek letter ρ {\displaystyle...

coefficient are not −1 to +1 but a smaller range. For the case of a linear model with a single independent variable, the coefficient of determination...

the Pearson correlation coefficient is not relevant. A more general regression and the corresponding coefficient of determination would be more appropriate...

In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall's τ coefficient (after the Greek letter τ, tau), is a statistic...