Table 6 Automatic linear modeling...

Table 6

Automatic linear modeling coefficients (SPSS v27)

Model term	Coefficient	Sum of squares	df	Mean square	F	Std. error	t	Sig.	95% confidence interval		Importance
Model term	Coefficient	Sum of squares	df	Mean square	F	Std. error	t	Sig.	Lower	Upper	Importance
Corrected model		11.251	9	1.250	1524.005			0.000
Intercept	−0.348					0.140	−2.482	0.020	−0.636	−0.059
PE	0.331	0.151	1	0.151	183.916	0.024	13.562	0.000	0.281	0.382	0.452
PUE	0.236	0.080	1	0.080	97.130	0.024	9.855	0.000	0.187	0.286	0.239
EFS	0.181	0.040	1	0.040	48.297	0.026	6.950	0.000	0.128	0.235	0.119
PPEA	0.131	0.032	1	0.032	38.603	0.021	6.213	0.000	0.087	0.174	0.095
FF	0.112	0.025	1	0.025	30.843	0.020	5.554	0.000	0.071	0.154	0.076
DAP	0.061	0.004	1	0.004	4.776	0.028	2.185	0.038	0.004	0.119	0.012
ABB	0.060	0.002	1	0.002	1.992	0.043	1.411	0.170	−0.028	0.149	0.005
KU	0.017	0.001	1	0.001	0.660	0.021	0.812	0.424	−0.026	0.060	0.002
PECA	−0.017	0.000	1	0.000	0.501	0.024	−0.708	0.486	−0.067	0.033	0.001
Residual		0.021	25	0.001
Corrected total		11.271	34
Corrected model		11.242	4	2.811	2908.758			0.000
Intercept	−0.0618					0.100	−6.188	0.000	−0.822	−0.414
TFv	0.687	1.436	1	1.436	1486.112	0.018	38.550	0.000	0.650	0.723	0.937
PFv	0.180	0.057	1	0.057	58.503	0.024	7.649	0.000	0.132	0.228	0.037
HFv	0.252	0.034	1	0.034	34.745	0.043	5.895	0.000	0.165	0.340	0.022
BFv	0.073	0.006	1	0.006	6.424	0.029	2.535	0.017	0.014	0.131	0.004
Residual		0.029	30	0.001
Corrected total		11.271	34

Model term	Coefficient	Sum of squares	df	Mean square	F	Std. error	t	Sig.	95% confidence interval		Importance
Model term	Coefficient	Sum of squares	df	Mean square	F	Std. error	t	Sig.	Lower	Upper	Importance
Corrected model		11.251	9	1.250	1524.005			0.000
Intercept	−0.348					0.140	−2.482	0.020	−0.636	−0.059
PE	0.331	0.151	1	0.151	183.916	0.024	13.562	0.000	0.281	0.382	0.452
PUE	0.236	0.080	1	0.080	97.130	0.024	9.855	0.000	0.187	0.286	0.239
EFS	0.181	0.040	1	0.040	48.297	0.026	6.950	0.000	0.128	0.235	0.119
PPEA	0.131	0.032	1	0.032	38.603	0.021	6.213	0.000	0.087	0.174	0.095
FF	0.112	0.025	1	0.025	30.843	0.020	5.554	0.000	0.071	0.154	0.076
DAP	0.061	0.004	1	0.004	4.776	0.028	2.185	0.038	0.004	0.119	0.012
ABB	0.060	0.002	1	0.002	1.992	0.043	1.411	0.170	−0.028	0.149	0.005
KU	0.017	0.001	1	0.001	0.660	0.021	0.812	0.424	−0.026	0.060	0.002
PECA	−0.017	0.000	1	0.000	0.501	0.024	−0.708	0.486	−0.067	0.033	0.001
Residual		0.021	25	0.001
Corrected total		11.271	34
Corrected model		11.242	4	2.811	2908.758			0.000
Intercept	−0.0618					0.100	−6.188	0.000	−0.822	−0.414
TFv	0.687	1.436	1	1.436	1486.112	0.018	38.550	0.000	0.650	0.723	0.937
PFv	0.180	0.057	1	0.057	58.503	0.024	7.649	0.000	0.132	0.228	0.037
HFv	0.252	0.034	1	0.034	34.745	0.043	5.895	0.000	0.165	0.340	0.022
BFv	0.073	0.006	1	0.006	6.424	0.029	2.535	0.017	0.014	0.131	0.004
Residual		0.029	30	0.001
Corrected total		11.271	34

Source(s): Table by authors

Sharing Unavailable