Review

Open Access

|

Peer-reviewed

Correlation Vs. Regression: A Review

Dr. Arati Shah

DIP: 18.02.015/20200502

DOI: 10.25215/2455/0502015

Received: April 23, 2020; Revision Received: May 12, 2020; Accepted: June 25, 2020

Abstract

When researching the connection between at least two numeric variables, know the distinction between correlation and regression. The likenesses/contrasts and benefits/burdens of these apparatuses are discussed here alongside each instance. Correlation evaluates the course and strength of the connection between two numeric variables, X and Y, and consistently lies between – 1.0 and 1.0. Straightforward direct regression relates X to Y through a condition of the structure Y = a + bX. The review article has shown the difference between correlation and regression.

The author profoundly appreciates all the people who have successfully contributed to ensuring this paper in place. Their contributions are acknowledged however their names cannot be mentioned.

The author declared no conflict of interest.

This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.

Responding Author Information

Dr. Arati Shah @ info@ijsi.in

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Article Overview

ISSN 2348-5396

ISSN 2349-3429

DIP: 18.02.015/20200502

DOI: 10.25215/2455/0502015

Published in

Volume 05, Issue 2, April-June, 2020

  • 5Downloads
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