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
DOI: https://doi.org/10.15414/isd2018.s9.12
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
Toto dielo je publikované pod/This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Licence.
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