Table 4.

Coefficients of the multiple linear regression model.

E × N	B	Typical Error	Beta	t	Sig.	Tolerance	FIV
7 (Constant)	1.995	0.078		25.510	0.000
NMF_18	0.056	0.015	0.120	3.819	0.000	0.601	1.663
NMF_16	−0.068	0.016	−0.145	−4.320	0.000	0.529	1.890
NMF_3	−0.055	0.014	−0.118	−3.913	0.000	0.646	1.548
NMF_11	0.049	0.014	0.104	3.462	0.001	0.659	1.518
NMF_2	0.036	0.013	0.072	2.717	0.007	0.844	1.185
NMF_17	0.045	0.016	0.097	2.877	0.004	0.526	1.901
NMF_14	−0.028	0.014	−0.058	−2.014	0.044	0.703	1.422
ED × N	B	Typical Error	Beta	t	Sig.	Tolerance	FIV
3 (Constant)	1.956	0.089		21.897	0.000
NMF_7	0.080	0.018	0.126	4.333	0.000	0.714	1.401
NMF_3	−0.081	0.019	0.132	−4.350	0.000	0.656	1.525
NMF_2	0.049	0.017	0.075	2.880	0.004	0.882	1.113

Note: B = B-static; t = t-static; Sig. = significance; FIV = collinearity statistic.