The ABC of linear regression analysis: What every author and editor should know
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...
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| Format: | Article |
| Language: | English |
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European Association of Science Editors
2021-09-01
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| Series: | European Science Editing |
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| Online Access: | https://ese.arphahub.com/article/63780/download/pdf/ |
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| _version_ | 1850181541940953088 |
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| author | Ksenija Bazdaric Dina Sverko Ivan Salaric Anna Martinovic Marko Lucijanic |
| author_facet | Ksenija Bazdaric Dina Sverko Ivan Salaric Anna Martinovic Marko Lucijanic |
| author_sort | Ksenija Bazdaric |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-479bd1bae4f74edaa2f22fdf3f184b23 |
| institution | OA Journals |
| issn | 2518-3354 |
| language | English |
| publishDate | 2021-09-01 |
| publisher | European Association of Science Editors |
| record_format | Article |
| series | European Science Editing |
| spelling | doaj-art-479bd1bae4f74edaa2f22fdf3f184b232025-08-20T02:17:52ZengEuropean Association of Science EditorsEuropean Science Editing2518-33542021-09-01471910.3897/ese.2021.e6378063780The ABC of linear regression analysis: What every author and editor should knowKsenija Bazdaric0Dina Sverko1Ivan Salaric2Anna Martinovic3Marko Lucijanic4Rijeka University School of Medicine; European Science Editing and Croatian Medical JournalBehavioral Health Home RijekaDepartment of Oral and Maxillofacial Surgery, University of Zagreb School of Dental Medicine, University Hospital Dubrava and Croatian Medical JournalDepartment of English, University of ZadarHematology Department, University Hospital Dubrava and Croatian Medical JournalRegression 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.https://ese.arphahub.com/article/63780/download/pdf/Causal languagelinear modelspredictionregres |
| spellingShingle | Ksenija Bazdaric Dina Sverko Ivan Salaric Anna Martinovic Marko Lucijanic The ABC of linear regression analysis: What every author and editor should know European Science Editing Causal language linear models prediction regres |
| title | The ABC of linear regression analysis: What every author and editor should know |
| title_full | The ABC of linear regression analysis: What every author and editor should know |
| title_fullStr | The ABC of linear regression analysis: What every author and editor should know |
| title_full_unstemmed | The ABC of linear regression analysis: What every author and editor should know |
| title_short | The ABC of linear regression analysis: What every author and editor should know |
| title_sort | abc of linear regression analysis what every author and editor should know |
| topic | Causal language linear models prediction regres |
| url | https://ese.arphahub.com/article/63780/download/pdf/ |
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