The difficulty about averaging stats is that not all stats deserve to be weighted equally. So how do you weight them, and for that matter, how do you get rid of redundant information due to dependent variables?
At that point you're into hocus-pocus modelling, in which sheer opinion is hidden under a veneer of applied math. It's been said that with seven variables, you can make any data set fit any curve you choose if you fiddle enough with the coefficients.
__________________
WARNING: The preceding message may not have been processed in a sarcasm-free facility.
|