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On Thu, 12 Sep 1996, Richard L. Bowman wrote:
Directly related to your suggestion for the standard deviation of the
slope and y-intercept, these sound like good things to know, but how does
one calculate them? It cannot be simply the sum of the square of the
errors divided by one less than the number of data points (as one would do
with a simple list of single values for different trials). The degrees of
freedom need to be included, too. Plus what happens when one does
non-linear fits such as log-log and semi-log plots or exponential fits?
I think we probably need R^2 and much more, PLUS a good reference on how
to interpret the whole thing!!