Table 6.

Estimated model of multiple regression

	Unstandardized coefficients		Standardized coefficients	t	Sig.	95.0% confidence interval for B
	B	SE	Beta			Lower bound	Upper bound
Regression model 1: Dependent variable: LS1S4 (R = 0.712, R2 = 0.508)
(Constant)	0.127	0.395		0.321	0.749	− 0.653	0.906
LS1S5	0.528	0.086	0.462	6.124	0	0.357	0.698
LS1S13	0.269	0.069	0.285	3.9	0	0.133	0.405
LS1M3	0.191	0.057	0.2	3.366	0.001	0.079	0.303
LS1S15	− 0.253	0.076	− 0.281	− 3.321	0.001	− 0.403	− 0.102
LS1S1	0.094	0.034	0.17	2.754	0.007	0.027	0.162
LS1S7	0.169	0.073	0.188	2.331	0.021	0.026	0.312
Regression model 2: Dependent variable: LS2S1 (R = 0.599, R2 = 0.359)
(Constant)	1.342	0.574		2.338	0.021	0.208	2.476
LS2S3	0.538	0.069	0.522	7.812	0	0.402	0.674
LS2S10	0.184	0.068	0.179	2.696	0.008	0.049	0.319
LS2S9	− 0.212	0.085	− 0.168	− 2.504	0.013	− 0.379	− 0.045
LS2M3	0.218	0.106	0.138	2.048	0.042	0.008	0.428
Regression model 3: Dependent variable: LS3S4 (R = 0.695, R2 = 0.483)
(Constant)	0.839	0.395		2.124	0.035	0.059	1.618
LS3S6	0.546	0.084	0.481	6.52	0	0.381	0.712
LS3S5	0.252	0.081	0.235	3.098	0.002	0.091	0.413
LS3M4	0.171	0.055	0.206	3.115	0.002	0.062	0.279
LS3M2	− 0.167	0.084	− 0.135	− 1.992	0.048	− 0.334	− 0.001