The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to see if there's a relationship between two variables, with the first known ...

Learn the difference between linear regression and multiple regression and how investors can use these types of statistical analysis.

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.

Heng Lian, Weihua Zhao, Yanyuan Ma, MULTIPLE QUANTILE MODELING VIA REDUCED-RANK REGRESSION, Statistica Sinica, Vol. 29, No. 3 (2019), pp. 1439-1464 ...