Regression Analysis - Meaning & Definition

Published by MBA Skool Team , Last Updated: May 16, 2012

What is Regression Analysis?

Regression analysis is a statistical tool that tries to determine the relationship between an independent variable and a dependent variable by developing the best fit line or the regression equation.

Regression analysis is used for forecasting and prediction in finance. It is used to understand the relationship between independent variable and dependent variable.

For example, As the number of teachers increases the students pass percentage is increased in a college. In this case the teacher is the independent variable and the passing student is the dependent variable. To understand how the increase in number of teachers increases the number of passing student we need to do regression analysis on the historical data of students and teacher. Using regression analysis we will try to develop an equation in the form of


Y= mX + C

Y—Dependent Variable (Passing Students)

X—Independent Variable (No. Of Teachers)

C—constant


Using this equation we can predict the future by putting different value of X and accordingly obtain the value of Y.

This article has been researched & authored by theBusiness Concepts Team. It has been reviewed & published by the MBA Skool Team. The content on MBA Skool has been created for educational & academic purpose only.

Browse the definition and meaning of more similar terms. The Management Dictionary covers over 2000 business concepts from 5 categories.

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