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| REVIEW ARTICLE |
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| Year : 2020 | Volume
: 6
| Issue : 1 | Page : 7-11 |
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Principles of correlation and regression analysis
Shivam Pandey
Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India
| Date of Web Publication | 17-Apr-2020 |
Correspondence Address:
Shivam Pandey
Department of Biostatistics, All India Institute of Medical Sciences, New Delhi
India
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/jpcs.jpcs_2_20
In statistics, the correlation analysis quantifies the strength of the association between two quantitative variables. In the present article, we discuss how to establish a relationship or an association between two quantitative variables. While the correlation provides a quantitative way of measuring the degree or strength of a relation between two variables, regression analysis describes this relationship. Correlation and agreement are also distinguished, and pitfalls of correlation are discussed.
Keywords: Agreement, correlation, regression
How to cite this article:
Pandey S. Principles of correlation and regression analysis. J Pract Cardiovasc Sci 2020;6:7-11 |
Read associated Retraction Notice: https://www.j-pcs.org/article.asp?issn=2395-5414;year=2020;volume=6;issue=3;spage=303;epage=303;aulast=
This article has been Retracted
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