Regression Analysis of Variables Describing Poultry Meat Supply in European Countries

摘要

In this paper, based on the analysis of official FAOSTAT and EUROSTAT data on poultry meat for 38 European countries for years 2007 and 2009, two hypotheses were examined. Firstly, considering four clustering variables on poultry meat, i.e. production, export and import in kg/capita, as well as the producer price in US $/t, using descriptive exploratory and cluster analysis, the hypothesis that the clusters of countries may be recognized was confirmed. As a result six clusters of similar countries were distinguished. Secondly, based on multiple regression analysis, this paper proofs that there exists the statistically significant relationship of poultry meat production on export and import of that kind of meat, all measured in kg/capita. There is also a high correlation between production, as a dependent, and each of two independent variables.%V dokumentu, ki temelji na analizi uradnih podatkov Faostat-a in Eurostat-a za perutninsko meso 38 evropskih držav, zajetih za leti 2007 in 2009, sta bili proučevani dve hipotezi. V prvi, ki obravnava štiri spremenljivke, ki se nanašajo na proizvodnjo, izvoz, uvoz perutninskega mesa v kg/prebivalca, kot tuđi na proizvodno ceno, izraženo v US $/t, so bile raziskovane navedene države z uporabo deskriptivne in klaster analize. Hipoteza, da lahko te države razvrstimo po skladnosti v klasterje, je bila potrjena. Kot rezultat analize, so države po skladnosti spremenljivk razvrščene v šest klasterjev. Druga, ki na osnovi multiple regresijske analize raziskuje, da v tem dokumentu obstaja statistično signifikantno razmerje med proizvodnjo, izvozom in uvozom perutninskega mesa, merjeno v kg/prebivalca. Ugotovljeno je, da obstaja visoka korelacija med proizvodnjo, kot odvisno spremenljivko in med vsako od neodvisnih spremenljivk.