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Linear Regression

Linear regression is a machine learning concept that is used to build or train the models (mathematical models or equations) for solving supervised learning problems related to predicting continuous numerical value. linear regression is used to determine the relationship between input and output variables. In machine learning tasks, linear regression is mostly used for making the prediction of numerical values from a set of input values. The linear regression mathematical structure or model assumes that there is a linear relationship between input and output variables In business, this dependent variable can also be called the predictor for eg., sales of a product, pricing, performance, risk etc. Linear Regression is a very powerful statistical technique and can be used to generate insights on consumer behavior, understanding business and factors influencing profitability. Linear regressions can be used in business to evaluate trends and make estimates or forecasts. Linear regression can also be used to analyze the marketing effectiveness, pricing and promotions on sales of a product..

While Linear regression has limited applicability in business situations because it can work only when the dependent variable is of continuous nature, it still is a very well known technique in the situations it can be used.