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Regression Analysis

This article covers meaning & overview of Regression Analysis from marketing perspective.

Published by MBA Skool Team in Marketing and Strategy Terms Last Updated: September 30, 2023Read time:

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 the Business Concepts Team which comprises of MBA students, management professionals, and industry experts. It has been reviewed & published by the MBA Skool Team. The content on MBA Skool has been created for educational & academic purpose only.

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