Least trimmed squares (LTS), as a robust method, is widely used in linear regression models. However, the ordinary LTS of simple linear regression treats the response and prediction variable asymmetrically. In other world, it only considers the errors from response variable. This treatment is not appropriate in some applications. To overcome these problems, we develop three versions of symmetri...