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# Help model regression

Note by Insan Budiman Mahdar
4 years, 2 months ago

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To obtain $$r$$ and $$K$$ that minimizes $$\,J$$, you just take derivative of $$\,J$$ with respect to $$r$$ and $$K$$ and then set equal to $$0$$. This technique is called minimizing the mean square error (MSE) or chi-squared ($$\;\chi^2$$) minimization. \begin{align} \frac{\partial J}{\partial r}&=0\tag1\\ \frac{\partial J}{\partial K}&=0.\tag2 \end{align} Next, plug in data in the table and solve those two non-linear equations. You can use either Newton-Raphson, Steffenson, or secant method. Of course you should use computer program like Matlab, SAS, R, etc to help you solve $$\,(1)$$ and $$\,(2)$$.

- 4 years ago