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This document discusses curve fitting, which involves finding the best fitting curve to model the relationship between two variables from a set of observed data points. It describes several common methods for curve fitting, including the method of least squares. The method of least squares aims to minimize the sum of the squares of the differences between observed and predicted values to determine the best-fit curve. The document provides examples of applying the method of least squares to fit linear, quadr

Author

Dawa Penjor

Language

EN