In a linear mixed model run with
lmer() I got this output for the correlation between fixed effects. My independent variable is almost perfectly correlated (negatively) with the intercept. Is this a problem?.
I am not sure what this actually means and if I need to actually drop this variable from the model.
Correlation of Fixed Effects: (Intr) Age Status Tarsus Quality Age -0.061 Status2 0.115 -0.829 Tarsus -0.991 0.041 -0.138 Quality -0.049 -0.087 0.134 -0.033 GroupSize -0.067 0.024 0.145 -0.023 0.163