Home|Journals|Articles by Year|Audio Abstracts

Technical Note

PBS. 2013; 3(2): 90-2

Linear regression analysis

Selim Kılıç.


Linear regression is an approach to modeling the association between a numeric dependent variable y and one or more independent variables denoted X. The case of one explanatory variable in regression model is called simple linear regression. For more than one explanatory variable, then the model is called multiple linear regression. The dependent variable should be a numeric variable in linear regression. It is recommended at least 10 times as many cases as the number of independent variables in regression model. And a statistically significant regression analysis does not imply causal relationship between independent and dependent variables.

Key words: linear, regression, causation

Full-text options

Share this Article

Online Article Submission
• ejmanager.com
• ojshosting.net

Do you want to use OJS for your journal ?
work with an experienced partner

Review(er)s Central
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.