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Multivariate correlations indicate that multiple factors, including the ICMV of underlying layers and temperatures of HMA, affect the ICMV of the HMA layer.
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The observed correlations indicate good construct validity.
Negative genetic correlations indicate evolutionary trade-offs.
Does lack of correlation indicate discriminant validity?
The within-group analyses of TM gave some support to the latter explanation as classical algesics were significant regressors in the regressions of PPT and pain intensity and the multivariate correlation analyses (PCA) indicated a diverse pattern from controls.
Finally, multivariate correlations between the datasets were computed exploiting their PC projections.
Principal component analysis was employed to explore the multivariate correlations among all the quantified traits.
However, due to small sample size limitations, multivariate approaches are often not appropriate for discovering the underlying complex, multivariate correlations.
A significant correlation indicated phylogenetic inertia.
Low correlation indicates a poor probe.
Multivariate tests indicate statistical values across all components.
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