摘要：Ordinary Least Square (OLS) method is based on a normal distribution, so it is not appropriate to analyze a number of data that are not symmetrical or contain outliers. Therefore, the Robust Least Trimmed Square (LTS) regression is used. This study compares the robust regression of LTS with OLS in the case of factors affecting malaria in Indonesia. The results obtained that by using the OLS method obtained by 0.681 and robust LTS regression of 0.732. so we get the best model, the LTS robust regression model. Further results were obtained that the main factors causing the spread of malaria in Indonesia were poverty, health personnel and clean water.
