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master's thesis
Multikolinearnost u linearnoj regresiji
Varaždin: University of Zagreb, Faculty of Organization and Informatics, 2024. urn:nbn:hr:211:079946
Eršeg, Martina
University of Zagreb
Faculty of Organization and Informatics
Department of Quantitative Methods

Institutional repository: Faculty of Organization and Informatics - Digital Repository

Cite this document

Eršeg, M. (2024). Multikolinearnost u linearnoj regresiji (Master's thesis). Varaždin: University of Zagreb, Faculty of Organization and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:079946

Eršeg, Martina. "Multikolinearnost u linearnoj regresiji." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2024. https://urn.nsk.hr/urn:nbn:hr:211:079946

Eršeg, Martina. "Multikolinearnost u linearnoj regresiji." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2024. https://urn.nsk.hr/urn:nbn:hr:211:079946

Eršeg, M. (2024). 'Multikolinearnost u linearnoj regresiji', Master's thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 06 November 2024, https://urn.nsk.hr/urn:nbn:hr:211:079946

Eršeg M. Multikolinearnost u linearnoj regresiji [Master's thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2024 [cited 2024 November 06] Available at: https://urn.nsk.hr/urn:nbn:hr:211:079946

M. Eršeg, "Multikolinearnost u linearnoj regresiji", Master's thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:211:079946

Metadata
TitleMultikolinearnost u linearnoj regresiji
Title (english)Multicollinearity in linear regression
AuthorMartina Eršeg
MentorDiana Šimić (mentor)
MBZ: 125756
Committee memberJasminka Dobša (član povjerenstva)
MBZ: 218640
GranterUniversity of Zagreb
Faculty of Organization and Informatics
(Department of Quantitative Methods)
Varaždin
Defense date and country2024-09-26, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Abstract
Tema rada je multikolinearnost u linearnoj regresiji koja označava svojstvo visoke međusobne korelacije između dviju ili više kvantitativnih varijabli. U radu je opisan model multiple linearne regresije, navedene su pretpostavke modela, metoda najmanjih kvadrata i analiza varijance te je prikazano testiranje hipoteza pomoću testova značajnosti. Kod provođenja multiple linearne regresije, rezultati mogu biti nepouzdani kada su nezavisne varijable multikolinearne. Vezano uz multikolinearnost, navedene su metode za otkrivanje problema te standardni pokazatelji, kao i načini kako ukloniti ili barem djelomice smanjiti navedeni problem. Kroz primjer u radu vezan uz postotak tjelesne masnoće, konkretnije će se opisati elementi provođenja multiple regresijske analize. Analiza podataka se provodi u programu R, a cilj je otkrivanje postojanja multikolinearnosti u podacima te pronalazak optimalnog rješenja za uklanjanje problema.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:211:079946
Study programmeTitle: Economics of Entrepreneurship
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra ekonomike poduzetništva (magistar/magistra ekonomike poduzetništva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to authenticated users
Terms of useLicence Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) icon
Created on2024-09-30 04:02:21