Journal of the Practice of Cardiovascular Sciences

REVIEW ARTICLE
Year
: 2020  |  Volume : 6  |  Issue : 1  |  Page : 7--11

Principles of correlation and regression analysis


Shivam Pandey 
 Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India

Correspondence Address:
Shivam Pandey
Department of Biostatistics, All India Institute of Medical Sciences, New Delhi
India

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.


How to cite this article:
Pandey S. Principles of correlation and regression analysis.J Pract Cardiovasc Sci 2020;6:7-11


How to cite this URL:
Pandey S. Principles of correlation and regression analysis. J Pract Cardiovasc Sci [serial online] 2020 [cited 2020 Aug 14 ];6:7-11
Available from: http://www.j-pcs.org/article.asp?issn=2395-5414;year=2020;volume=6;issue=1;spage=7;epage=11;aulast=Pandey;type=0