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Analysis of Performance Measures That Affect NBA Salaries
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematical Statistics.
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematical Statistics.
2017 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Analysering avprestationsmått som påverkar NBA-löner (Swedish)
Abstract [en]

This thesis investigates which factors that affect the salary for basketball players in the NBA and if the salary cap has achieved its purpose. The data for this project was collected from basketball-reference.com and consisted of performance measures from season 2015/2016 and salaries from the beginning of the season 2016/2017.

The study was performed by using multiple linear regression analysis in the software R and the data was handled in Excel. The results from the regression indicates that position point guard, if the player has played in D-league or not,Age, Offensive rebounds, Assists, Steals, Two point attempts, Three point attempts, Free throw attempts, Field goal percentage, Usage percentage and Defensive rating are the main factors that affect the salary. The performance measures that had the greatest were two and three point attempts. The regression model achieved an explanatory level of 57:4%. In complementary to analyze if the salary cap has achieved its purpose, a literature analysis was used and showed that the salary cap systems in North America are neither accurately designed nor do they satisfy the intentions of what they were set to achieve.

Abstract [sv]

Denna rapport undersöker vilka prestationsfaktorer som påverkar lönen för basketspelare i NBA och om NBA’s salary cap (lönetak) har uppnått sitt syfte. Datan för projektet hämtades från basketball-reference.com och bestod utav spelarstatistik ifrån säsong 2015/2016 och lön ifrån början av säsong 2016/2017.

Undersökningen utfördes genom linjär regressions analys med hjälp utav mjukvaruprogrammet R och datan hanterades i Excel. Resultatet från regressionen visar att positionen point guard, om spelaren spelat i D-league eller inte, ålder, offensiva returer, assists, steals, 2-poängsförsök, 3-poängsförsök, straffkastsförsök, field goal procent, användningsprocent och defensiv rating är faktorer som påverkar lönesättningen. Prestationsmåtten med störst påverkan var 2-poängsförsök och 3-poängsförsök. Regressionsmodellen uppnådde en förklaringsgrad på 57:4%. Motsvarande, för att analysera om NBA’s salary cap har uppnått sitt syfte gjordes en litteraturstudie som visade att salary cap-systemen i Nordamerika varken är korrekt utformade eller uppfyller sina ursprungliga syften.

Place, publisher, year, edition, pages
2017.
Series
TRITA-MAT-K ; 2017:15
National Category
Computational Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-209790OAI: oai:DiVA.org:kth-209790DiVA, id: diva2:1114463
Subject / course
Applied Mathematics and Industrial Economics
Educational program
Master of Science in Engineering - Industrial Engineering and Management
Supervisors
Examiners
Available from: 2017-06-23 Created: 2017-06-23 Last updated: 2017-06-23Bibliographically approved

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