Optimization of Phenolic Compound Extraction from Chinese Moringa oleifera Leaves and Antioxidant Activities

Table 3

ANOVA of the predicted regression model for TF.

Source	Sum of squares	df	Mean square	F value	value	Significance
Model	1.09	14	0.078	110.70	<0.0001
X1	0.023	1	0.023	32.12	<0.0001
X2	5.633E − 003	1	5.633E − 003	8.03	0.0133
X3	4.033E − 003	1	4.033E − 003	5.75	0.0310
X4	2.700E − 003	1	2.700E − 003	3.85	0.0700
X1X2	0.016	1	0.016	22.28	0.0003
X1X3	4.225E − 003	1	4.225E − 003	6.02	0.0278
X1X4	3.600E − 003	1	3.600E − 003	5.13	0.0399
X2X3	1.000E − 004	1	1.000E − 004	0.14	0.7114
X2X4	2.500E − 005	1	2.500E − 005	0.036	0.8530
X3X4	2.500E − 005	1	2.500E − 005	0.036	0.8530
	0.91	1	0.91	1296.97	<0.0001
	0.23	1	0.23	323.38	<0.0001
	0.097	1	0.097	137.64	<0.0001
	0.010	1	0.010	14.43	0.0020
Residual	9.820E − 003	14	7.014E − 004
Lack of fit	5.300E − 003	10	5.300E − 004	0.47	0.8488
Pure effort	4.520E − 003	4	1.130E − 003
Cor. total	1.10	28
R^2 = 0.9910, adj. R^2 = 0.9821, adeq. precision = 36.173, and CV% = 0.58

No significant difference (). Significantly different (). Highly significantly different (). Remarkably significantly different ().