Table 1. Multiple linear regression analysis for feature extraction.

Variables	Std. Error	Beta	t	Sig
AS	8.167	-	5.765	.001
VJ	.168	.391	2.464	.018
SBJ	.048	.313	1.557	.127
SS	.019	-.031	-.199	.843
HG	.101	-.144	-.856	.397
UMS	.128	-.131	-.794	.431
CMS	.228	.299	1.726	.026