What is Linear Regression?

Linear regression is a statistical modeling technique used to identify and quantify the relationship between a dependent variable and one or more independent variables. It works by fitting a straight-line equation to observed data, allowing predictions or estimations of future outcomes based on historical patterns.

By applying linear regression, businesses and researchers can forecast trends, analyze correlations, and make data-driven decisions. It is widely used in areas like sales forecasting, financial analysis, risk assessment, and market research, helping organizations understand key factors affecting performance and make informed strategic choices.