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

measurement, ordinal, or categorical. The Pearson product-moment correlation coefficient, also known as r, R, or Pearson's r, is a measure of the strength and...

In statistics, Spearman's rank correlation coefficient or Spearman's ρ is a number ranging from -1 to 1 that indicates how strongly two sets of ranks...

Measure of Association. A Pearson correlation coefficient estimated for two binary variables will return the phi coefficient. Two binary variables are...

model-fitting procedure. The coefficient of multiple correlation, denoted R, is a scalar that is defined as the Pearson correlation coefficient between the predicted...

Pearson product-moment correlation coefficient (PPMCC), or "Pearson's correlation coefficient", commonly called simply "the correlation coefficient"...

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

to the distance correlations of many shuffles of the data. The classical measure of dependence, the Pearson correlation coefficient, is mainly sensitive...

The point biserial correlation coefficient (rpb) is a correlation coefficient used when one variable (e.g. Y) is dichotomous; Y can either be "naturally"...

the corresponding variances. ρ {\displaystyle \rho } is the Pearson's correlation coefficient between the two variables. This follows from its definition...

correlation coefficients are required. They provide a numerical value that reflects the strength of an association. Pearson correlation coefficient is...

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

[the Pearson product-moment] correlation when graduated measurements have been reduced to two categories." The tetrachoric correlation coefficient should...

are included, R2 is the square of the coefficient of multiple correlation. In both such cases, the coefficient of determination normally ranges from 0...

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

numerical relationship between two variables of interest, using their correlation coefficient will give misleading results if there is another confounding variable...

transformation is a variance stabilizing transformation for the pearson correlation coefficient. Here, the delta method is presented in a rough way, but it...

normalize the autocovariance function to get a time-dependent Pearson correlation coefficient. However, in other disciplines (e.g. engineering) the normalization...

among the various responses. While tests using the standard Pearson correlation coefficient assume normally distributed values and compare two sequences...

normalize the cross-correlation function to get a time-dependent Pearson correlation coefficient. However, in other disciplines (e.g. engineering) the normalization...

produce the Pearson product–moment correlation coefficient (also referred to as the Pearson correlation coefficient or correlation coefficient), which is...

statistics, the RV coefficient is a multivariate generalization of the squared Pearson correlation coefficient (because the RV coefficient takes values between...

this will give the same result as the square of Pearson's correlation coefficient; otherwise the correlation ratio will be larger in magnitude. It can therefore...

group in South Australia Pearson (surname) Pearson correlation coefficient, a statistical measure known as Pearson's r Pearson (motorcycle), a British...

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

Tetrachoric Correlation Coefficient". Journal of Educational and Behavioral Statistics, 30, 213. Drasgow, F. (1986). Polychoric and polyserial correlations. In...

called the centered cosine similarity and is equivalent to the Pearson correlation coefficient. For an example of centering, if A = [ A 1 , A 2 ] T ,  then ...

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

to real-valued random variables and linear dependence like the correlation coefficient, MI is more general and determines how different the joint distribution...

{(r-1)^{2}+(\alpha -1)^{2}+(\beta -1)^{2}}}} where: r {\textstyle r} is the Pearson correlation coefficient, α {\textstyle \alpha } is a term representing the variability...