Öz
In regression, an influential observation and influential sets would cause noticeable differentiations on fitted values. Since these differentiations decrease explicability of model, detecting the influential observation or the influential sets in data is important for efficiency of regression analysis. In this study COVRATIO, Cook Distance statistics and graphical technique used for detecting influential sets are examined. These methods are compared with regard to ratios of detecting influential set in data which includes two influential observations.