Linear Regression Model

Linear regression is a statistical method used to predict the value of a dependent variable based on one or more independent variables. It finds the best-fitting straight line through data points by minimizing the differences between actual and predicted values. For example, it can estimate house prices based on size and location. The core idea is to identify the relationship's strength and direction, represented by coefficients, so future outcomes can be forecasted accurately. Essentially, linear regression models how changes in input factors influence the output in a straight-line relationship.