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Only a moderate correlation (explaining 40% of the variance) between the LEAPS and the SDS was observed, which is to be expected given that the SDS Work score is comprised of only a single item, compared to the higher correlation (explaining over 60% of the variance) found with the HPQ.
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Current empirical correlation explains this behavior with fair accuracy.
The near-perfect correlation explains the name: two instruments with a delta, or differential, of one rise and fall in line with each other.
The correlation explains many of the variations in the mass transfer timescale encountered when single-rate sorption approaches were utilized to model solute transport in previous miscible displacement studies.
This correlation explains our finding that combinations of all these parameters provided small categorization benefits (Table S4).
The correlation explained variance of about 12%.
The ratio of h2.xy to the phenotypic group correlation between phenotypes indicates the proportion of the correlation explained by additive genetic factors.
Multivariate results separately for males and females – phenotypic, genetic and nonshared environmental correlations, and proportion of phenotypic correlation explained by A, C and E. Table A3.
Multivariate results for the full ACE model – phenotypic, genetic and environmental correlations, and proportion of phenotypic correlation explained by A, C and E.
The correlation explained three-quarters of the variation in the late rate, for 22 countries, but only half of the variation in the early rate.
The linear correlation explained 48 and 57% of the phenotypic variances, respectively, in the greenhouse (r = 0.69) and field (r = 0.75) experiments.
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