Simple linear regression is commonly used in forecasting and financial analysis—for a company to tell how a change in the GDP could affect sales, for example. Microsoft Excel and other software ...

The most basic regression relationship is a simple linear regression. In this case, E (Y | X) = μ (X) = β0 + β1X, a line with intercept β0 and slope β1.

Nonlinear regression is a form of regression analysis in which data is fit to a model and then expressed as a mathematical function. Simple linear regression relates two variables (X and Y) with a ...