Outlier Detection Method in Linear Regression Based on Sum of Arithmetic Progression

<table>Implementation of MMS and EMMS. Initially algorithm checks for the significant outliers using MMS. After removing all significant outliers, then remove the nonsignificant outliers using EMMS. There is no removed data imputation in relation to both MMS and EMMS.</table>

The Scientific World Journal

fig6

Figure 6

Figure 6: Outlier Detection Method in Linear Regression Based on Sum of Arithmetic Progression 