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MHB Math Helper

Prove It

Well-known member
MHB Math Helper
If we assume that a model of the form \displaystyle \displaystyle \begin{align*} y = A + B\,e^{x} \end{align*} is appropriate, then we note that if we have \displaystyle \displaystyle \begin{align*} X = e^{x} \end{align*}, then we have a nice linear equation \displaystyle \displaystyle \begin{align*} y = A + B\,X \end{align*}.
So it would help to start by evaluating $$\displaystyle \displaystyle e^x$$ at each point x, giving a new set of data which we can call X. Then perform a linear least squares regression for data set y against data set X.