Hey guys, I hope this is the appropriate SubForum

Im attempting to detect outliers that might distort the correlation between 2 variables.

In both variables the same Ladies have a value about +2SD, and a scatter plot makes it quite obvious that they are outliers.

Now I wanted to detect them bivariate.

If I understood Mahalanobis distances correctly, it is the distance from the single sample points not the center of the entire sample, but a line (otherwise it wouldnt make any sense to use it unless we want the remaining data to be a sphere)

What does not make sense to me, is that the Distances change dramatically if I switch the dependent and independent variable. In one case I have Distances that exceed the critical values, in the other I don't.

Can somebody explain to me why this is and what the appropriate way to deal with this is?

Thanks alot