Hi, I would be grateful if anyone could give me some ideas how to get round this problem I have.
I have a large amount (~400) of data series, each consisting of about 900 X and Y values. For each set of X and Y values, I want to compare their plot to the equation Y=A*(X^(2/3)) , where A is a constant for that particular pair of series, and then choose the A value which has the smallest RMS (root mean square) error to the plot of X and Y.
This is fine for one pair of X and Y values - I simply plot a table of of new Y values based on different A values (from 0 to -1) and choose the one with the lowest RMS error. However, just for one data series this takes at least 10 minutes - how can I at least partly automate this process? I have hardly any programming knowledge but am farily competant with forumlae in excel. I have been told goal seek might be the solution to my problem?
Thanks in advance
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