Linear Regression is a very useful statistical tool that helps us understand the relationship between variables and the effects they have on each other. It can be used across many industries in a variety of ways – from spurring value to gaining customer insight – to benefit business.
The Simple Linear Regression model allows us to summarize and examine relationships between two variables. It uses a single independent variable and a single dependent variable and finds a linear function that predicts the dependent variable values as a function of the independent variables.
If you want real linear regression, drop in an R or Python script.