The mathematical measure of correlation of two occasional variables is the correlation ratio
, or the coefficient of correlation.
strongly significant and correlation ratio was 0.9.
Ovarian width (D2) was compared with ovarian volume in MRI using Pearson Correlation and the correlation ratio was 0.7 and P value was derived 0.001 i.e.
Generalized correlation ratio
[X.sub.7], it also called correlation trusted proportion, it is the proportion between the generalized related credits and the net capital, and shall not be higher than 50%.
The values of correlation coefficient (ri) and correlation ratio (Ri) range from (-1, 1) and value of wi is always positive and less than one.
Self employment has large source Gini, correlation ratio and source weight, thus contributes more in non-farm income inequality.
The SEC staff has interpreted high correlation to mean a correlation ratio between 80% to 125% (this is the change in the fair value attributable to the hedged risk of the derivative divided by the change in fair value of the hedged item; this interpretation applies to the dollar offset method but not to other statistical methods).
"Highly effective" has been interpreted to mean a correlation ratio between 80% to 125%.
Eigenvalue (mean [F.sub.st]) 0.059 0.031 0.012 - Inertia (%) 43.0 22.5 8.6 74.1 Particularly, the MCA and CRT-MCA bring in the correlation ratio
that is the ratio of the variance between alleles (i.e., variance of the mean for an allele of a particular locus) to the total variance (i.e., variance of one locus whatever the alleles considered).
The complex surfaces are these geometric surfaces of that theoretical curves D or/and G has a such geometric form that for their generation are necessary compositions of sample movements cinematic correlated by a cinematic correlation ratio
, RCCIN+ (Sandu & Strajescu, 2007).
Checking the accuracy of the multiple regression models and of the multiple correlation ratios
, based on "Fisher" criterion, it leads to the following conclusion that for the significance level of 5% the multiple regression models is valid.
Another method is to calculate the distribution of the values of the matrix, and then consider all the peaks of the distribution as correlation ratios
. To establish which one of these peaks is the right one, one has to check the correctness of the correlation parameter by another method.