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A regression analysis of NHL cap hits
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.).
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.).
2014 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This report is a study if a multi linear regression could be used to predict the cap hit of hockey forwards from the NHL. Data was collected during the 2010-2011, 2011-2012, and 2012-2013 seasons. The chosen variables were common hockey statistics and a few none hockey-related, like origin and age. The initial model was improved by removing insignicant covariates, detected by BIC-test and p-values. The final model consisted of 291 players and had an adjusted R2-value of 0,7820. Of the covariates, goals, assists and ice time had the biggest impact on a player's cap hit.

Place, publisher, year, edition, pages
2014. , 27 p.
National Category
Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-155194OAI: oai:DiVA.org:kth-155194DiVA: diva2:760102
Educational program
Master of Science in Engineering - Vehicle Engineering
Available from: 2014-11-03 Created: 2014-11-03 Last updated: 2014-11-03Bibliographically approved

Open Access in DiVA

Carl Flogvall and Stefan Nordenskjöld kandidatexam(364 kB)283 downloads
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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf