Regression analysis

Kuriakose, Somy (2015) Regression analysis. In: Training Manual Fish Stock Assessment and Management. ICAR- Central Marine Fisheries Research Institute, Kochi, pp. 21-24. ISBN 978-93-82263-07-4

Text Training Manual Fish Stock Assessment and Management_2015_Kuriakose Somy.pdf Download (166kB)

Abstract

Correlation gives us the idea of the measure of magnitude and direction between correlated variables. Now it is natural to think of a method that helps us in estimating the value of one variable when the other is known. The fact that the variables x and y are correlated does not necessarily mean that x causes y or vice versa. Regression analysis is a statistical tool for the investigation of relationships between variables. It is a powerful technique used for predicting the unknown value of a variable from the known value of another variable. When there is only one independent variable then the relationship is expressed by a straight line. This procedure is called simple linear regression. More precisely, if X and Y are two related variables, then linear regression analysis helps us to predict the value of Y for a given value of X or vice verse. Multiple regression is an extension of bivariate regression in which several independent variables are combined to predict the dependent variable. In multilple regression analysis,the value of Y is predicted for given values of X1, X2, …, Xk.

Item Type:	Book Section
Uncontrolled Keywords:	Regression; statistics
Subjects:	Statistical Designs
Divisions:	CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division Subject Area > CMFRI > CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division Subject Area > CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division
Depositing User:	Arun Surendran
Date Deposited:	05 Aug 2024 05:27
Last Modified:	05 Aug 2024 05:27
URI:	http://eprints.cmfri.org.in/id/eprint/18668

Actions (login required)

View Item