Optimization of functions whose values are subject to small errors

Determination of the straight line of be

Determination of the straight line of best fit to observational data of two related variates when both sets of values are subject to error

✍ W. A. Morgan 📂 Article 📅 1960 🏛 John Wiley and Sons 🌐 English ⚖ 316 KB

## Abstract The general equation to a straight line of best fit to observational data of two related variates x and y is obtained by minimizing the general expression \documentclass{article}\pagestyle{empty}\begin{document}$ \sum\limits\_{i = 1}^n {(y\_i - ax\_i - b)^2 } $\end{document} ϕ(__a__) in