How to find the optimum intercept by fixing the gradient as a fit to experimental data?
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I have a set of experimental data that share the relationship: y = A.x^n
I plot my data log y vs log x. The gradient is n and intercept is log(A) which I can obtain from the polyfit function.
I now want to fix the value of n and find the most optimum value of A by some kind of least squares algorithm with respect to the experimental data.
What is the best way to do this?
Thank you
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