. 2022 Apr 19;11(9):1184. doi: 10.3390/foods11091184

Table 3.

ANOVA and descriptive statistics parameters for applied quadratic models.

Response	Source	Sum of Squares	df	Mean Square	F-Value	p-Value
Y	Model	79.21	10	7.92	21.94	<0.0001
	Residual	6.5	18	0.361
	Lack of Fit	5.86	14	0.4187	2.64	0.1804
	Pure Error	0.6355	4	0.1589
	Cor Total	85.71	28
	R² = 0.9242
	CV = 4.11%
TP	Model	2.66	12	0.2218	7.48	0.0002
	Residual	0.4744	16	0.0296
	Lack of Fit	0.2434	12	0.0203	0.3513	0.9284
	Pure Error	0.231	4	0.0577
	Cor Total	3.14	28
	R² = 0.8487
	CV = 4.55%
DPPH	Model	0.0135	12	0.0011	15.68	<0.0001
	Residual	0.0011	16	0.0001
	Lack of Fit	0.0006	12	0.0001	0.383	0.9114
	Pure Error	0.0005	4	0.0001
	Cor Total	0.0146	28
	R² = 0.9216
	CV = 4.14%
FRAP	Model	0.1038	6	0.0173	3.29	0.0182
	Residual	0.1155	22	0.0052
	Lack of Fit	0.1123	18	0.0062	7.8	0.0298
	Pure Error	0.0032	4	0.0008
	Cor Total	0.2193	28
	R² = 0.4733
	CV = 12.57%
ABTS	Model	0.0535	7	0.0076	5.99	0.0006
	Residual	0.0268	21	0.0013
	Lack of Fit	0.0188	17	0.0011	0.5563	0.8241
	Pure Error	0.008	4	0.002
	Cor Total	0.0803	28
	R² = 0.6661
	CV = 8.44%

df—degrees of freedom.