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Analys av vinpriser genom regression.
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematical Statistics.
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematical Statistics.
2014 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
##### Abstract [en]

—We investigate which factors affect the

price of wine. Among these are amount of alcohol, age,

packaging and sealing. The investigation is divided

into two parts. The country in which the wine is

produced is examined in one model and the second

model examines the effect grapes contained in the

wine has on the price. In order to produce the two

models data from Systembolaget AB’s assortment

is used. When the data has been treated, a linear

regression analysis is conducted. The results of the

two regressions are then discussed in order to examine

the reliability of the models. This discussion is based

on the assumptions made when conducting a linear

regression, and economic theory. It appears that the

model with countries is better than the model with

grapes, and that factors such as alcohol content,

age, packaging and sealing are correlated with price.

Finally the causes of these correlations are discussed.

##### Abstract [sv]

—Vi undersöker vilka faktorer som

påverkar priset på vin. Bland dessa finns alkoholhalt,

ålder, förpackning och förslutning. Undersökningen

delas upp i två delar. I den ena modellen undersöks

vilket land vinet kommer ifrån och i den andra

modellen undersöks hur de druvor som vinet innehåller

påverkar priset. För att ta fram de två

modellerna används data från Systembolaget AB:s

sortiment. När datan har behandlats genomförs linjär

regressionsanalys. Resultatet av de två regressionerna

diskuteras sedan för att undersöka tillförlitligheten

hos modellerna. Denna diskussion bygger på de antaganden

som krävs för den linjära regressionen samt

ekonomisk teori. Det visas att modellen med länder

är bättre än modellen med druvor, samt att faktorer

som alkoholhalt, ålder, förpackning och kork är korrelerade

med priset. Slutligen diskuteras orsakerna

till dessa samband.

2014. , p. 14
##### National Category
Engineering and Technology
##### Identifiers
OAI: oai:DiVA.org:kth-148436DiVA, id: diva2:736597
##### Examiners
Available from: 2014-08-07 Created: 2014-08-07 Last updated: 2014-08-07Bibliographically approved

#### Open Access in DiVA

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Type fulltextMimetype application/pdf
##### By organisation
Mathematical Statistics
##### On the subject
Engineering and Technology

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Cite
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