Linear Regression Analysis Theory and Computation

Abstract

In a statistical method, linear regression is used to estimate the relationship between a dependent variable based on the value of an independent variable. It is a forecasting model in which one or more independent variables are utilised to predict a variable. Of all statistical models, the linear regression model is the most commonly used. In this paper, there are three kinds of linear regression discussed (i) single linear regression, (ii) multiple linear regression, and (iii) polynomial regression. It also shows how we can perform manual linear regression analyses using model datasets. Every model is frequently subjected to hypothesis testing to ensure that accurate outcome is expected.