Abstract

Regression analysis is a powerful tools which are used in many areas of management research. Usually, in using ordinary regression models some basic assumptions should be hold which ignoring to check situations of them are com¬mon errors in statistical modeling and forecasting.After reviewing this kind of common error, we suggest modern techniques which may help the researchers to overcome the problem as an alternative models. Key words: Ordinary regression model, Nonlinear Regression, Generalized linear model, Generalized autoregressive conditional heteroskedasticity (GARCH), Nonparametric regression, Robust Regression