DOAJ Open Access 2021

The ABC of linear regression analysis: What every author and editor should know

Ksenija Bazdaric Dina Sverko Ivan Salaric Anna Martinovic Marko Lucijanic

Abstrak

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.

Topik & Kata Kunci

Academies and learned societies Bibliography. Library science. Information resources

Penulis (5)

Ksenija Bazdaric

Dina Sverko

Ivan Salaric

Anna Martinovic

Marko Lucijanic

Format Sitasi

APA MLA BibTeX

Bazdaric, K., Sverko, D., Salaric, I., Martinovic, A., Lucijanic, M. (2021). The ABC of linear regression analysis: What every author and editor should know. https://doi.org/10.3897/ese.2021.e63780

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Informasi Jurnal

Tahun Terbit: 2021
Sumber Database: DOAJ
DOI: 10.3897/ese.2021.e63780
Akses: Open Access ✓