Linear Regression is a statistical and machine learning method used to examine the relationship between variables and predict a numerical outcome. It works by finding a straight line that best represents the relationship between an input and a target value. The model determines the line by minimizing the differences between its predictions and the observed data. With this relationship established, new input values can be used to estimate corresponding outcomes.
For example, a real estate company can use Linear Regression to estimate a property’s price based on factors such as size, location, and age. It is useful for forecasting sales, estimating costs, analyzing trends, predicting demand, and supporting data-driven decisions across business, finance, healthcare, and other fields.
