In statistics, the coefficient of determination, denoted R2 or r2 and pronounced "R squared", is the proportion of the variation in the dependent variable...
45 KB (6,208 words) - 21:35, 19 April 2024
disattenuation Coefficient of determination Correlation and dependence Correlation ratio Distance correlation Goodness of fit, any of several measures...
6 KB (665 words) - 21:58, 26 March 2024
fixed mean of the dependent variable. The coefficient of multiple correlation is known as the square root of the coefficient of determination, but under...
6 KB (923 words) - 16:43, 31 March 2024
In probability theory and statistics, the coefficient of variation (CV), also known as normalized root-mean-square deviation (NRMSD), percent RMS, and...
30 KB (4,015 words) - 16:59, 17 May 2024
In statistics, Spearman's rank correlation coefficient or Spearman's ρ, named after Charles Spearman and often denoted by the Greek letter ρ {\displaystyle...
31 KB (4,158 words) - 17:07, 22 May 2024
components), the Nash–Sutcliffe efficiency is equivalent to the coefficient of determination (R2), thus ranging between 0 and 1. In some applications such...
9 KB (1,291 words) - 03:23, 11 February 2024
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...
37 KB (5,183 words) - 20:00, 19 May 2024
coefficient (PCC) is a correlation coefficient that measures linear correlation between two sets of data. It is the ratio between the covariance of two...
56 KB (8,213 words) - 23:39, 21 May 2024
Anscombe's quartet (category Misuse of statistics)
the Pearson correlation coefficient is not relevant. A more general regression and the corresponding coefficient of determination would be more appropriate...
9 KB (727 words) - 23:02, 23 April 2024
measure of the proportion of variance shared by the two variables, and varies from 0 to 1. For example, with an r of 0.21 the coefficient of determination is...
52 KB (7,301 words) - 22:10, 8 May 2024