Using Information of population in estimating parameters of multiple regression Models based on Quantile regression with Application

Is in this research the ordinary least squares method is reviewed and a brief account on the multiple linear regression model and regression quintile is given and then study the characteristics of the society and extracting information from them to add to the information data to get the multiple regression model which has less error than original after the addition of information of population, using regression quantile and comparison between the results using criterion Mse.