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1) Suppose the true relation is strongly nonlinear, such as y=A*x^10.
2) Suppose the the distribution of experimentally measured x is
gaussian (due to random errors of measurements).
3) The distribution of the corresponding y values (calculated from
individual x) will not be Gaussian; it will be skewed.
For that reason averaging at the level of what is experimentally
measured seems to be preferable.