1. Regresijska analiza variabel, ki opisujejo oskrbo s perutninskim mesom v evropskih državah
- Author
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Miro Simonič, Ksenija Dumičić, and Gabrijel Devetak
- Subjects
Organizational Behavior and Human Resource Management ,klaster analiza ,Strategy and Management ,media_common.quotation_subject ,udc:339.138 ,lcsh:Business ,multipla regresija ,poultry meat ,Management Information Systems ,Agricultural science ,Linear regression ,perutninsko meso ,Per capita ,Economics ,Production (economics) ,Business and International Management ,Marketing ,Business management ,media_common ,marketing strategy ,cluster analysis ,correlation ,multiple regression ,Variables ,Regression analysis ,korelacija ,Tourism, Leisure and Hospitality Management ,Poultry meat ,strategija trženja ,lcsh:HF5001-6182 - Abstract
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 tudi 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.
- Published
- 2012