Are you sure it can't be done by fitting a curve to the line with quadratic regression?? (y = ax^2 + bx + c).
Then with this plot lots of data-point near the peak (which lie of the line of best fit) and then read the highest.
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Quadratic regression is quite a different thing - it is an approximation by a range 2 polynomial. I thought you needed an exact solution. Unfortunately I don't know approximation techniques.
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I am not quite sure what you are suggesting? If you intend him to regress the coefficients a,b,c then this is just general linear regression. Why would it be quadratic rather than linear?
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