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Prediktion av villapris och dess faktorers inverkan.
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematical Statistics.
2013 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

 

A villas price depends on several important factors. By statistical data, a mathematical multiple regression model was modeled. The model has important explanatory variables such as living space, renovation year and standard points has been taken into consideration, in order to assess their impact on the final price for private homes.

By using a statistical program,

Minitab 16, the final model was selected with eight explanatory variables. The regression for this model explains up to 67.3 % of the variation on the final price.

The results showed percentage wise that the standard points had the greatest impact on the price, there after renovation year and then living space.

Abstract [sv]

 

En villas pris beror på flera olika viktiga faktorer. Genom statistisk data har en matematisk multipel regressionsmodell modellerats. Modellen har viktiga förklarande variabler som exempelvis boarea, renoverings år och standardpoäng som tagits till hänsyn, för att bedöma deras inverkan på villornas slutpris.

Med hjälp av ett statistiskt program,

Minitab 16, har den slutgiltiga modellen valts med åtta förklarande variabler. Regressionen för denna modell förklarar upp till 67,3 % av variationen på slutpriset.

Resultatet visade procentuellt att standardpoängen hade störst inverkan på priset, vart därefter renoverings året och sedan boarean.

Place, publisher, year, edition, pages
2013. , 35 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-140361OAI: oai:DiVA.org:kth-140361DiVA: diva2:690036
Supervisors
Available from: 2014-01-22 Created: 2014-01-22 Last updated: 2014-01-22Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • Other locale
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Output format
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