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Author(s): Tomáš Pechočiak, Norbert Kecskés

Title: Investigation of a Nonlinear Dependence by the Least Squares Method

Source: International Scientific Days 2018 :: Towards Productive, Sustainable and Resilient Global Agriculture and Food Systems :: Proceedings

ISBN: 978-80-7598-180-6


Publisher: Wolters Kluwer ČR, Prague

PY, pages: 2018, 2010-2016

Published on-line: 2018-11-09

Language: eng

Abstract: Sometimes it is necessary to express the dependence of one quantity on one or more other quantities. The relationship between two variables can be expressed by a socalled trend curve. This dependence can be either linear or non-linear. In the paper we express a non-linear dependence, in our case quadratic, by means of the least squares method and outline how this method can be used to derive a set of equations enabling us to determine the coefficients of the given trend curve. We deal with a practical example of a small poultry farmer who breeds chickens for egg production. By this method we can estimate, for example, the missing data that have been lost or failed to be obtained and are necessary to document the production results.

Keywords: quadratic function, least squares method, nonlinear dependence

JEL Classification: C1, C4, C13, C02, C65

Rights:Open Access :: Creative Commons BY-NC-SA 4.0 International Licence
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