The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Multiple linear regression should be used when multiple independent variables determine the outcome of a single dependent variable. This is often the case when forecasting more complex relationships.

Multiple linear regression (MLR) is a statistical technique that uses several explanatory variables to predict the outcome of a response variable.

When multiple variables are associated with a response, the interpretation of a prediction equation is seldom simple.