correlation ratio


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correlation ratio

[‚kär·ə′lā·shən ‚rā·shō]
(statistics)
A measure of the nonlinear relationship between two variables; in a two-way frequency table it may be regarded as the ratio of the variance between arrays to the total variance.
References in periodicals archive ?
The mathematical measure of correlation of two occasional variables is the correlation ratio, or the coefficient of correlation.
Ovarian width (D2) was compared with ovarian volume in MRI using Pearson Correlation and the correlation ratio was 0.
Pearson Correlation ratio is calculated and ratio is 0.
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).
Particularly, the MCA and CRT-MCA bring in the correlation ratio that is the ratio of the variance between alleles (i.
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.
The high correlation ratios indicate consistency over time, adding confidence to the applicability of the forecasts and their ability to provide a better estimate for future periods than other sources.

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