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Analyses also test for relationships between specific understory species and cover types.
We did not test for relationships between continuous variables and categorical variables with three or more levels.
We used mixed linear models to test for relationships between circulating plasma carotenoids with morphological and reproductive variables.
Our goal was to test for relationships between adaptive immune responses to novel parasites and spatial-temporal variation in the occurrence of parasite pressure among G. fortis populations.
We developed assays for parasite-specific antibody responses in Darwin's finches (Geospiza fortis), to test for relationships between adaptive immune responses to novel parasites and spatial-temporal variation in the occurrence of parasite pressure among G. fortis populations.
General Linear Mixed Modelling was used to test for relationships between initial face colour and colour change applied to optimise healthy appearance (dependent variable = colour change; random factor = participant ID; covariates = initial face colour: L*, a* and b*).
This allows us to test for relationships between predictor variables and patient outcome measures.
Analysis of Variance was used to test for relationships between categorical variables and MRI data.
Pearson correlations were used to test for relationships between continuous variables.
The study used multivariate analysis to test for relationships with measures of body composition including WHtR.
Spearman correlations and linear regression were used to test for relationships between Streptomyces inhibitory, resistance, and resource use phenotypes.
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