linear regression

Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables. It is used to predict the value of the dependent variable based on the values of the independent variables. The linear regression model assumes that the relationship between the variables is linear, which means that the change in the dependent variable is directly proportional to the change in the independent variable. The objective of linear regression is to find the best fit line that represents the relationship between the variables. This line is called the regression line or the line of best fit. Linear regression is often used in forecasting, trend analysis, and risk management.