Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

Lecture Notes-Monograph Series, Vol. 49, Optimality: The Second Erich L. Lehmann Symposium (2006), pp. 291-311 (21 pages) We analyze the (unconditional) distribution of a linear predictor that is ...

Many response variables are handled poorly by regression models when the errors are assumed to be normally distributed. For example, modeling the state damaged/not damaged of cells after treated with ...

Many regression analyses involve explanatory variables that are measured with error, and failing to account for this error is well known to lead to biased point and ...

It can be highly beneficial for companies to develop a forecast of the future values of some important metrics, such as demand for its product or variables that describe the economic climate. There ...