@baseballyanks1 :
I think if you exchange the X and Y axes on this, it should be a little more apparent. Disease (=1) is associated with large values of logX, no disease(=0) with small values. While there is some overlap, the disease group "stretches" out more in the positive logX direction from the group median than the no disease group. Those points will drive the fit of the regression line, so that you get a fairly large slope. By eyeball, I would estimate the slope at something like 9 (difference in logits / difference in logX) = 3.72/.4, which is really close to the ~10 value of the ML estimates.
SteveDenham
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