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Regressionsanalys av NHL-statistik
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematical Statistics.
2014 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The study examined what NHL-teams should improve. This has been done by studying the significant statistics of NHL-seasons, and with linear regression identifying what NHL-teams should do to win many points and thereby get a good placement in the final table. The most interesting result of the study is that the statistics on faceoffs and shots on goal and power play efficiency most seasons where irrelevant for the outcome of a season.

Abstract [sv]

Denna studie har undersökt vad NHL-lag ska förbättra. Detta har skett genom att studera statistiskt signifikant statistik från NHL-säsonger med linjär regression i syfte att kunna identifiera vad NHL-lag ska göra för att ta många poäng och således hamna högt i tabellen. Det mest intressanta som studien har gett är att antalet skott och antalet vunna tekningar samt effektiviteten i power play i en NHL-match för de flesta av de studerade säsongerna inte har någon statistik betydelse för vilket lag som vinner matchen.

Place, publisher, year, edition, pages
2014. , 17 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-148405OAI: oai:DiVA.org:kth-148405DiVA: diva2:736455
Supervisors
Available from: 2014-08-06 Created: 2014-08-06 Last updated: 2014-08-06Bibliographically approved

Open Access in DiVA

Gustav Hedén kandidtaexamensarbete inom teknisk fysik vid inst för matematik, matematisk statistik.(293 kB)109 downloads
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Type fulltextMimetype application/pdf

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
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  • Other locale
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