I'm trying to detect multicollinearity in my model, it has count response variable and some proportional and one categorical explanatory variable called site. In R the model looks like this:
glm(Total ~ percent_flower + Percent_typeofflower + Percent_ohtertypeoflower + Site, family=poisson, data=pollinator)
I want to know whether I should calculate the
Site, it doesn't seem to make sense to calculate a correlation between a numerical variable and a categorical one.
Also if I have to keep
Site in to calculate the
vif(), will running a GLMM instead of a GLM take care of the collinearity issue?