statistics, the coefficient of multiple correlation is a measure of how well a given variable can be predicted using a linear function of a set of other variables...

A correlation coefficient is a numerical measure of some type of linear correlation, meaning a statistical relationship between two variables. The variables...

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

regressors are included, R2 is the square of the coefficient of multiple correlation. In both such cases, the coefficient of determination normally ranges from...

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

unit problem Multiple correlation Point-biserial correlation coefficient Quadrant count ratio Spurious correlation Statistical correlation ratio Subindependence...

correlation coefficient measures the agreement between two variables, e.g., to evaluate reproducibility or for inter-rater reliability. The form of the...

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

machine learning, it is known as the Matthews correlation coefficient (MCC) and used as a measure of the quality of binary (two-class) classifications, introduced...

partial correlation coefficient. This is precisely the motivation for including other right-side variables in a multiple regression; but while multiple regression...

In statistics, the intraclass correlation, or the intraclass correlation coefficient (ICC), is a descriptive statistic that can be used when quantitative...

sometimes known as serial correlation in the discrete time case, measures the correlation of a signal with a delayed copy of itself. Essentially, it quantifies...

A rank correlation coefficient can measure that relationship, and the measure of significance of the rank correlation coefficient can show whether the...

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

chi-squared calculator of 2 × 2 contingency table More Correlation Coefficients Nominal Association: Phi, Contingency Coefficient, Tschuprow's T, Cramer's...

In signal processing, cross-correlation is a measure of similarity of two series as a function of the displacement of one relative to the other. This...

regression with orthogonal predictors, the standardized regression coefficient equals the correlation between the independent and dependent variables. A regression...

assessed using a correlation coefficient or simple linear regression model relating only xj to y; this effect is the total derivative of y with respect...

Examples of effect sizes include the correlation between two variables, the regression coefficient in a regression, the mean difference, or the risk of a particular...

the Pearson correlation coefficient or correlation coefficient), which is usually denoted by the letter “r.” Pearson’s correlation coefficient is used when...

z-transformation) of a Pearson correlation coefficient is its inverse hyperbolic tangent (artanh). When the sample correlation coefficient r is near 1 or...

abundance curve Rank correlation mainly links to two following Spearman's rank correlation coefficient Kendall tau rank correlation coefficient Rank product Rank-size...

the average short-term correlation. If the signals have multiple components (slow and fast), scaled coefficient of correlation can be computed only for...

In statistics, canonical-correlation analysis (CCA), also called canonical variates analysis, is a way of inferring information from cross-covariance matrices...

SAS Institute A gallery of examples of implausible correlations sourced by data dredging [1] An xkcd comic about the multiple comparisons problem, using...

to a more general class of plots, and sometimes to the less commonly used P–P plot. The probability plot correlation coefficient plot (PPCC plot) is a quantity...

and observed behavior in terms of three statistics: the Pearson correlation coefficient, the root-mean-square error (RMSE) error, and the standard deviation...

the correlation coefficients between the variables and factors on individuals (a factor on individuals is the vector gathering the coordinates of individuals...

Pearson product-moment correlation coefficient: see also item-total correlation. The key to this method is the development of alternate test forms that...

among a set of variables. This includes models equivalent to any form of multiple regression analysis, factor analysis, canonical correlation analysis,...