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

With only one variable in the model, it is unclear whether Visa affects the S&P 500 prices, if the S&P 500 affects V prices, or if some unobserved third variable affects both prices.

Additive models and tree-based regression models are two main classes of statistical models used to predict the ... For sample sizes of 300 ... (2002), "Regression Trees With Unbiased Variable ...