Log-normal linear regression models are popular in many fields of research. Bayesian estimation of the conditional mean of the dependent variable is problematic as many choices of the prior for the ...

The Annals of Statistics, Vol. 30, No. 2 (Apr., 2002), pp. 583-616 (34 pages) This paper introduces a new class of robust estimators for the linear regression model. They are weighted least squares ...

Linear forecasting models can be used in both types of forecasting methods. In the case of causal methods, the causal model may consist of a linear regression with several explanatory variables.

Learn how to graph linear regression in Excel. Use these steps to analyze the linear relationship between an independent and a dependent variable.