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Predictors were assessed for collinearity by examining intercorrelations, which were relatively small with the highest absolute value at r = .46.46
Predictors were first assessed for collinearity by examining intercorrelations; correlations were relatively small with the highest absolute value at r = .48.48
All pairwise comparisons yielded absolute correlation values and variance explained by linear models (adjusted R) of <0.5, indicating no issues of collinearity, so all predictors were retained.
To avoid multi-collinearity, the most biologically relevant variable was retained for the multivariable model if two variables had an absolute Spearman rank correlation coefficient >0.5 [ 14].
Fox, J. & Monette, G. Generalized collinearity diagnostics.
Synteny and collinearity in plant genomes.
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