STATISTIC ANALYSIS OF MULTIPLE CURVILINEAR REGRESSIONS OF FOUR VARIABLES REGARDING THE EVOLUTION OF THE AVERAGE WEEKLY GAIN AT BROILERS

I. POPESCU, ANDREEA POPESCU, D. DRINCEANU

Abstract


Depending on four controlable variables used in broilers nutrition: E (energy), P (protein), L(lysine), M (metyonine+ cystine) have been deduced mathematically multiple curvilinear regressions showing the evolution of corporal mass during entire growth period. In this paper, using these regressions, we determine the average weekly gain of corporal mass. We test using dispersional analysis if there are significant differences between N.R.C. 1994 and the values given by regressions. Using correlation report we decide which of these regressions is optimum.


Keywords


multiple curvilinear regressions; dispersional analysis; correlation report

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Scientific Papers Animal Science and Biotechnologies publish open access articles under the terms of the Creative Commons Attribution 4.0 Licence (read full legal code).

LUCRARI STIINTIFICE ZOOTEHNIE SI BIOTEHNOLOGII (SCIENTIFIC PAPERS ANIMAL SCIENCE AND BIOTECHNOLOGIES)

ISSN print 1841 - 9364
ISSN online 2344 - 4576
ISSN-L  1841 - 9364
(former ISSN 1221-5287, E-ISSN 1841-9364)

PUBLISHER: AGROPRINT Timisoara, Romania
PAPER ACCESS: Full text articles available for free
FREQUENCY: Semiannual
PUBLICATION LANGUAGE: English
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Banat´s University of Agricultural Sciences and Veterinary Medicine "King Michael I of Romania" from Timisoara
Faculty of Animal Science and Biotechnologies
300645, Timişoara, Calea Aradului 119, Romania

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