Choosing of the Best Estimate of the Parameters of the Multiple Linear Regression Model of Infertility Using the Weighted Least Squares (WLS) and Robust M Ali Saif Hussein1, Abood Ahmed Hamza2, AL-Sabbah Shrook. A.S.1 1Statistics Department, Administration And Economics College, Kerbala University, Iraq 2Department of Anatomy, Medical College, Kerbela University, Iraq Online published on 30 April, 2019. Abstract In this research, methods were used to estimate the parameters of the multiple regression model, namely the method of the weighted least squares (WLS) and the robust-M methods, to show the effect of the presence of outliers values in the observation values on the regression model. A simple random sample of 151 infertile individuals are drawn as dependent variable (size of egg), and Independent variables (age, weight, infertility type, LH Hormone, FSH Hormone, PL Hormone) to compare these methods and to determinate the best method of estimation using measures mean square error MSE and Determination Coefficient, and through the program Stata we found that the best method to estimate was robust-M (Turkey's biweight). Top Keywords Robust M, multiple regressions, estimation. Top |