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

Authors

  • I. POPESCU Faculty of Animal Sciences and Biotehnologies, Timişoara, România
  • ANDREEA POPESCU West Regional Development Agency, Timişoara, România
  • D. DRINCEANU Faculty of Animal Sciences and Biotehnologies, Timişoara, România

Keywords:

multiple curvilinear regressions, dispersional analysis, correlation report

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

References

Popescu I. (2003) - Tehnică experimentală şi de cercetare în zootehnie,

Editura Marineasa, Timisoara, p. 104-111

Popescu I., Grigoroiu E., Drinceanu D., Popescu Andreea, Corman

Sandra, (2006) - Evolution study of corporal weight at broilers using exponenŃial

function Scientifical Papers Animal Sciences and Biotehnologies Timisoara vol 39,

p. 345-348.

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Published

2023-11-01