Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

Multiple linear regression uses two or more independent variables to predict a dependent variable. The result is an equation you can use to estimate future outcomes based on known data.

- Multiple linear regression formula. The equation for multiple linear regression extended to two explanatory variables (x 1 and x 2) is as follows: This can be extended to more than two explanatory ...

Reviewed by Thomas J. Catalano Fact checked by Melody Kazel Linear Regression vs. Multiple Regression: An Overview Linear regression (also called simple regression) is one of the most common ...

Multiple Linear Regression: Multiple linear regression describes the correlation between two or more independent variables and a dependent variable, also using a straight regression line.

Linear regression can be used for two closely related, but slightly different purposes. You can use linear regression to predict the value of a single numeric variable (called the dependent variable) ...

Wang, TJ, Gona, P, Larson, MG, et al. Multiple biomarkers for the prediction of first major cardiovascular events and death. N Engl J Med 2006;355:2631-2639 Crossref ...