Application of correlation analysis elements for a communication research between changes of potassium and sodium amounts in tinned blood at storage
DOI:
https://doi.org/10.31548/bio2017.05.021Abstract
We used an element of the correlation analysis for establishment of interrelation between changes of potassium and sodium amounts in tinned blood at storage. Correlation analysis is method of definition and calculation of quantitative sign of interdependence between statistical signs which characterize the separate natural phenomena and processes. By means of the correlation analysis such takes are solved: existence and the choice of communication form of productive sign (amount of sodium) with factorial sign (amount of potassium) is reveled; change of dependence of size on a factor which influences her is quantitatively estimated; density of communication of a productive indicator with a factor is established. The equation by means of which define statistical communication between the correlation sizes are called the regression equation. The regression equation allows to estimate a role of factorial sign in formation of productive sign. Determination of interrelation density between result and put in factor model is an important task of the regression equation analysis. The coefficient of pair correlation is quantitative index of density of rectilinear communication of result with one factor.
Keywords: correlation analysis, coefficient of pair correlation, potassium, sodium amounts, blood
References
Arnauta, O.V. (2004). Vplyv vysokykh kontsentratsii vuhlekysloty na riven enerhetychnoho obminu v klitynakh konservovanoi krovi tvaryn. [Influence of high concentration of carbon on level of energy metabolism in cells of preserved blood]. Veterinary meditcine of Ukraine, №1, 27-28.
Arnauta, N.V., Arnauta, O.V. (2016). Vykorystannua elementiv statychnogo modelyuvannua pry pobudovi mftematychnoi modeli biohimichnyh protsesiv. Elektronne vydannia [Use of elements static modeling at construction of mathematical model of biochemical processes]. Scientific reports of NUDiP of Ukraine – 7 (64), Available at: http: //journals.nubip.edu.ua/index.php/Dopovidi/article/view/7733
Vergunova, I.M. (2000). Osnovy matematuchnogo modelyuvannya dlya analizu ta prognozy agronomichnykh protsesiv [Bases of mathematical design are for an analysis and prognosis of agronomical processes]. Nora-Print, 145.
Gorkovyi, V.K., Yarova, V.V. (2004). Matamatychna ststistika [Mathematical statistics]. Profesional, 384.
Еrmakov, S.M., Mihailov, G.A. (1977). Kurs staticheskogo modelirovania. [Course of staticheskogo modelirovaniya]. Мoskov, Russia: Science, 350.
Sylima, I.M., Yakovenko, V.M. (2004). Vyshcha matamatyka. Teoria imovirnostei. Matematychna statistika [Higher mathematics. Theory of chances. Mathematical statistics]. NAU, 238.
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