What is interesting is the strength of these relationships appear to deteriorate as you advance far along the right tail.
I read that claim as saying that if you sample the 45% to 55% percentile you will get a stronger correlation than if you sample the 90% to 100% percentile. Is that what you are arguing?
This was badly written, especially as it offers confusion with range restriction. Sorry! I should just have said “what is interesting is that extreme values of the predictors predictors seldom pick out the most extreme outcomes”.
I read that claim as saying that if you sample the 45% to 55% percentile you will get a stronger correlation than if you sample the 90% to 100% percentile. Is that what you are arguing?
This was badly written, especially as it offers confusion with range restriction. Sorry! I should just have said “what is interesting is that extreme values of the predictors predictors seldom pick out the most extreme outcomes”.
If you think you know know how to write it better, feel free to edit.
45% to 55% of what measure? Part of the point of this is that how you cut your sample will change these things.
If you take it as 45% to 55% of one of the other contributing factors, then the correlation should be much stronger!
Does he argue it for any measure? Height for the basketball players?