. 2023 Jan 4;12(2):232. doi: 10.3390/foods12020232

Table 5.

The output of the cross-sectional linear regression models.

Cross-Sectional Linear Regression Output	Predictors of SECI′
Cross-Sectional Linear Regression Output	I_1.1	I_1.2	I_2.1	I_2.2	I_3.1	I_3.2	RCA_c	RCA_pc
Coefficient of Determination (R²)	0.1814	0.0075	0.5056	0.7304	0.1793	0.5721	0.1623	0.3830
Adjusted R²	0.1442	−0.0376	0.4831	0.7181	0.1420	0.5527	0.1242	0.3549
Durbin–Watson	1.8453	1.8310	1.7690	2.4893	1.8566	1.9067	1.8460	2.2267
F–statistic	4.8747	0.1660	22.4946	59.5934	4.8066	29.4172	4.2612	13.6546
p-value (F–statistic)	0.0380	0.6876	0.0001	0.0000	0.0392	0.0000	0.0510	0.0013
Estimation equation: SECI′ = Constant coefficient + Coefficient of the predictor × Predictor value + ε
Constant Coefficient	0.3674	0.5168	0.1362	0.1008	0.3210	0.2648	0.5562	0.1238
Standard Error of the Constant Coefficient	0.0639	0.1701	0.0775	0.0541	0.0786	0.0506	0.0726	0.0992
p-value (Constant Coefficient)	0.0000	0.0060	0.0929	0.0761	0.0005	0.0000	0.0000	0.2251
Coefficient of the Predictor	0.4688	−0.1024	0.7301	1.0515	0.4212	0.6686	−0.0586	0.3627
Standard Error of the Predictor Coefficient	0.2123	0.2512	0.1539	0.1362	0.1921	0.1233	0.0284	0.0982
p-value (Coefficient of the Predictor)	0.0380	0.6876	0.0001	0.0000	0.0392	0.0000	0.0510	0.0013