Hi again,
I have a follow up to my previous questions.
In the end I had a design with two within factors (2 levels each) and 3 covariates.
Let's say I observe clusters for the F test of one covariate. I would interpret that as: those voxels covary with the covariate. How do I investigate if it is a positive or negative relation though? If I extract the betas and correlate those with the covariate they do not always correlate significantly (sometimes trendlines are even flat and correlation coefficients are close to zero!). Now I am aware this is there as a result of a correlation... but how do I investigate it further?