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MycoDB can be used to model phylogenetic heritability of plant response to mycorrhizal fungi in host plant lineages, fungal lineages, and their interaction, as well as explore the relationship among explanatory variables and plant response to mycorrhizal fungi, while controlling for the influence of plant and fungal phylogenies.
To make the analysis and the results as transparent as possible we examine largely a priori model specifications, and we systematically report and discuss the patterns of correlation among explanatory variables.
The cross-correlations among explanatory variables are all below 0.4 indicating that no multicollinearity problem exists.
With such a large number of support pixels, there might exist multicollinearity problems among explanatory variables X.
These findings are confirmed in column (3) where we consider jointly private and public employees and include among explanatory variables an interaction term (Unemployment Rate)*(Public Employee).
Prior to model building, we tested for collinearity among explanatory variables using Spearman's rank correlation and included only variables with ρ < 0.7 in the same model (Dormann et al. 2013).
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Multicollinearity among the explanatory variables is a serious problem in regression analysis.
Among the explanatory variables, access to rain-fed agriculture, experience on soil management and water harvesting structures were significantly important determinants of farmers' perception on climate change.
Binary logit models of the consideration of each of 15 congestion-response strategies were estimated, as a function of work-, famileisure-,ure-, and travel-related attitudes, among other explanatory variables.
Among the explanatory variables considered, only distance (both straight and effective distance, which takes into account habitat quality between local populations) and location of the source were clearly related to connectivity.
Before estimating the model, associations among the explanatory variables were checked using the normalized mutual information.
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