Today we have learned about linear regression model in the class and topics related to it.
Linear regression is a widely used statistical method for modeling the relationship between a dependent variable and one or more independent variables. It assumes a linear relationship between the predictors and the target variable. The main goal of linear regression is to find the best-fitting linear equation that describes this relationship.
Simple Linear Regression: In simple linear regression, there is one independent variable and one dependent variable (target). The relationship between them is modeled as a straight line.
Multiple Linear Regression: In multiple linear regression, there are two or more independent variables and one dependent variable (target). The relationship is modeled as a linear combination of the predictors: