The basic linear regression equation

The basic linear regression equation is a mathematical model used to describe the linear relationship between a dependent variable (y) and one or more independent variables (x), where the variable y is predicted from the variable x. This equation can be expressed as y = mx + b, where m is the slope of the regression line and b is the intercept. The equation can be used to predict values of y given known values of x, or to find the values of the model parameters (m and b) that best fit the data. The equation represents the simplest form of linear regression, but more complex models are available to describe more complex relationships.