7.23 But we need to figure out how to use GLM do to that first.

As the title indicated. This is taking forever. GLM is so slow.

And there are two websites which is ridiculous. A few complaints here just releasing the stress.

• http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FEAT/UserGuide#Unpaired_Two-Group_Difference_.28Two-Sample_Unpaired_T-Test.29
• http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/GLM#Two-Group_Difference_Adjusted_for_Covariate

For categorical covariates (e.g. gender), treat in exactly the same way as continuous covariates - that is, use two indicator values (e.g. 0 and 1) and then demean these values before entering them into the EV. 

To adjust for multiple covariates, simply add more EVs to the model, one for each additionally covariate and mean center each covariate.