Pearson's correlation coefficient


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Pearson's correlation coefficient

n
(Statistics) a statistic measuring the linear relationship between two variables in a sample and used as an estimate of the correlation in the whole population, given by r = Cov (X, Y)/√[(Var(X).Var(Y)]. In full: Pearson's product moment correlation coefficient
[named after Karl Pearson (1857–1936), British mathematician]
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Pearson's correlation coefficient shows the relationship strength between two variables.
Our study group consisted of 89 participants with a large range of disease onset between 2 and 18 years; most of them were at stages 3 and 2 according to HY We evaluated convergent validity which determines the amount of association between two measures of the same construct, by using Pearson's correlation coefficient.
The Pearson's correlation coefficient between the two time-series is calculated as -0.
Because the extent of usage may affect electoral success, the relationship between electoral success and the number of Twitter followers, tweets, Facebook posts and "likes" are analyzed using Pearson's correlation coefficient.
Pearson's correlation coefficient on residuals of carcass traits and carcass prices of Holstein steers Trait *, (1) CWT DP EMA BF MS CUP CSP BWT 0.
Pairwise phenotypic correlations among traits were estimated using Pearson's correlation coefficient, as implemented in SPSS version 11.
Two types of correlation coefficients are often used in medical research; Pearson's correlation coefficient is a parametric method that is used to quantify the degree of linearity between two continuous variables and Spearman's correlation coefficient is a non-parametric method to quantify the order of rankings between two continuous variables.
The statistical tool namely Pearson's correlation coefficient has been adopted to test the research question, do the users' Library visits influence them to upgrade their awareness of Internet?
According to Table 1, the Pearson's correlation coefficient is equal to .
On the other hand, the analysis considering Pearson's correlation coefficient r and standard error of the estimate SEE of this equation, shown in Table 3, indicates that, for all rolling stands, the predicting performance of the equation virtually had no improvement with the incorporation of the work roll peripherical speed.

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