Lecture Notes in Numerical Analysis with Mathematica

Introduction to the Least Squares Analysis

Author(s): Krystyna STYš and Tadeusz STYš

Pp: 133-156 (24)

Doi: 10.2174/9781608059423114010008

* (Excluding Mailing and Handling)


This chapter is designed for the least squares method . It begins with the least squares method to determine a polynomial of degree n well fitted to m discrete points (xi, yi), i = 1, 2, ...,m, when n ≤ m. In the simplest form, the line of regression through m points is determined. The algorithm to find well fitted function to given discrete data is also presented. The Mathematica modules are designed and example illustrating the method are provided . The chapter ends with a set of questions.

Keywords: The least squares method, Regressions.

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