Whereas linear regression only has one independent variable, multiple regression encompasses both linear and nonlinear regressions and incorporates multiple independent variables.

Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function.

The Michigan Tech Data Science MS provides a broad-based education in data mining, predictive analytics, cloud computing, data-science fundamentals, communication, and business acumen.

By contrast, nonlinear regression analysis or nonlinear least-squares fitting (NLSF) refers to equations that are nonlinear in their parameters.

This course offers an introduction to mathematical nonlinear optimization with applications in data science. The theoretical foundation and the fundamental algorithms for nonlinear optimization are ...

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