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Scientific paper - Original scientific paper
The ABC of linear regression analysis: What every author and editor should know
European Science Editing, 47 (2021); E63780. https://doi.org/10.3897/ese.2021.e63780
Baždarić, Ksenija; Šverko, Dina; Salarić, Ivan; Martinović, Anna; Lucijanić, Marko

Institutional repository: Repository of the University of Rijeka, Faculty of Medicine

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Baždarić, K., Šverko, D., Salarić, I., Martinović, A. & Lucijanić, M. (2021). The ABC of linear regression analysis: What every author and editor should know. European Science Editing, 47.. doi: 10.3897/ese.2021.e63780

Baždarić, Ksenija, et al. "The ABC of linear regression analysis: What every author and editor should know." European Science Editing, vol. 47, 2021. https://doi.org/10.3897/ese.2021.e63780

Baždarić, Ksenija, Dina Šverko, Ivan Salarić, Anna Martinović and Marko Lucijanić. "The ABC of linear regression analysis: What every author and editor should know." European Science Editing 47 (2021). https://doi.org/10.3897/ese.2021.e63780

Baždarić, K., et al. (2021) 'The ABC of linear regression analysis: What every author and editor should know', European Science Editing, 47. doi: 10.3897/ese.2021.e63780

Baždarić K, Šverko D, Salarić I, Martinović A, Lucijanić M. The ABC of linear regression analysis: What every author and editor should know. European Science Editing [Internet]. 2021 [cited 2024 April 29];47. doi: 10.3897/ese.2021.e63780

K. Baždarić, D. Šverko, I. Salarić, A. Martinović and M. Lucijanić, "The ABC of linear regression analysis: What every author and editor should know", European Science Editing, vol. 47, 2021. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:184:135383. [Accessed: 29 April 2024]

Metadata
Title (english)The ABC of linear regression analysis: What every author and editor should know
AuthorKsenija Baždarić
AuthorDina Šverko
AuthorIvan Salarić
AuthorAnna Martinović
AuthorMarko Lucijanić
Author's institutionUniversity of Rijeka
Faculty of Medicine
(Department of Medical Informatics)
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Interdisciplinary Natural Sciences
Scientific / art field,
discipline and subdiscipline		BIOMEDICINE AND HEALTHCARE
Basic Medical Sciences
Scientific / art field,
discipline and subdiscipline		INTERDISCIPLINARY AREAS OF KNOWLEDGE
Cognitive Science (Natural, Technical, Biomedical and Healthcare, Social and Humanistic Sciences)
Abstract (english)
Regression analysis is a widely used statistical technique to build a model from a set of data on two or more variables. Linear regression is based on linear correlation, and assumes that change in one variable is accompanied by a proportional change in another variable. Simple linear regression, or bivariate regression, is used for predicting the value of one variable from another variable (predictor) ; however, multiple linear regression, which enables us to analyse more than one predictor or variable, is more commonly used. This paper explains both simple and multiple linear regressions illustrated with an example of analysis and also discusses some common errors in presenting the results of regression, including inappropriate titles, causal language, inappropriate conclusions, and misinterpretation.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleEuropean Science Editing
Numberingvol. 47, E63780
p-ISSN0258-3127
e-ISSN2518-3354
DOIhttps://doi.org/10.3897/ese.2021.e63780
URN:NBNurn:nbn:hr:184:135383
Publication2021
Document URLhttp://bib.irb.hr/1154893
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2023-02-08 14:42:58