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Analys av vilka faktorer som påverkar priset på maltwhisky
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.).
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.).
2013 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [sv]

I detta arbete är syftet att undersöka vilka faktorer i allmänhet

som påverkar en maltwhiskys pris och i synnerhet

varumärkets påverkan. Data samlades in från Systembolaget

ABs sortiment och manipulerades för att passa arbetets

behov. Variabler som analyserades var maltwhiskyns

ålder, alkoholhalt, märke, ursprungsland och, om det var

en skotsk maltwhisky, skotska ursprungsregionen.

En teoretisk modell togs fram och denna specificerades

till tre olika huvudmodeller som skiljer på märke, ursprungsland

och skotska regioner. För att bestämma vilka

oberoende variabler som skulle inkluderas i varje huvudmodell

beräknades Akaike Information Criterion corrected

(AICc) för varje delmängd av huvudmodellen. Modellerna

med lågt AICc och hög signifikans hos de oberoende variablerna

valdes till de slutgiltiga modellerna. Dessa modeller

utvärderades med multipel regressionsanalys för att kvantifiera

variablernas påverkan på priset.

Analysen visade att vissa ursprungsländer och varumärken

hade signifikant inverkan på priset och även att

vissa skotska regioner hade betydande inverkan på priset.

Samtliga modeller gav ett acceptabelt resultat för deras syfte

Abstract [en]

The aim of this report is to examine which factors in general

that influence the price of a malt whisky and in particular

the price effect of the brand. Data was gathered from Systembolaget

AB’s assortment and was manipulated to fit the

needs of this project’s needs. The variables that were analysed

were the age and alcohol content of malt whisky, its

brand, the country of origin and, if it was a Scotch malt

whisky, the Scottish region of origin.

A theoretical model was developed and three different

main models were specified to part brand, country of origin

and region. To be able to conclude which independant

variables that were to be included in the final models the

Akaike Information Criterion corrected (AICc) for every

subset of the main model was calculated. The models with

low AICc score and highly significant independant variables

were chosen as the final models. These models were then

evaluated using multiple regression analysis to quantify the

variables’ price influence.

The analysis showed that some of the brands and countries

of origin had significant influence on the price and

there could be seen some significant influence on the price

in the Scottish whisky regions model as well. All models

gave an acceptable result for the purpose of the report.

Place, publisher, year, edition, pages
2013. , 48 p.
National Category
Engineering and Technology
URN: urn:nbn:se:kth:diva-129238OAI: diva2:651091
Available from: 2013-09-24 Created: 2013-09-24 Last updated: 2013-09-25Bibliographically approved

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