Table 2.

Analysis of variance describing the effect of the different fermentation variables on the response variables (TPC, DMBQ, and DPPH) as linear, quadratic, and interactive terms and the coefficients for the predicted models.

Source	DF	TPC			DMBQ			DPPH
		Coefficient	Sum of Squares	p-Value	Coefficient	Sum of Squares	p-Value	Coefficient	Sum of Squares	p-Value
Model	8	3.29	8.39	<0.0001 **	0.42	0.73	<0.0001 **	84.75	2439.02	<0.0001 **
X1	1	-	0.004	0.9418 ns	-	0.001	0.6351 ns	−2.35	66.40	0.0107 *
X2	1	0.22	0.61	0.0109 *	0.052	0.032	0.0435 *	8.91	951.83	<0.0001 **
X3	1	-	0.029	0.5402 ns	0.081	0.17	0.0003 **	1.74	78.34	0.0063 **
X1X2	1	-	0.006	0.7694 ns	-	0.002	0.9957 ns	-	0.15	0.8927 ns
X1X3	1	-	0.075	0.3291 ns	-	0.009	0.3014 ns	3.36	135.37	0.0008 **
X2X3	1	-	0.015	0.6625 ns	-	0.007	0.3533 ns	-	0.002	0.9869 ns
X12	1	−0.75	3.07	<0.0001 **	−0.13	0.098	0.0030 **	−11.88	779.06	<0.0001 **
X22	1	−0.56	1.72	0.0002 **	−0.20	0.22	<0.0001 **	−3.61	72.12	0.0083 **
Residual	17		1.27			0.14			137.34
Lack of Fit	9		0.23	0.9874 ns		0.11	0.0725 ns		89.04	0.2490 ns
Pure Error	8		1.04			0.029			48.30
Total	25		9.66			0.87			2576.36
R2		0.8689			0.8390			0.9467
Adj. R2		0.8072			0.8128			0.9216
CV (%)		8.15			8.98			3.66
Adequate precision		10.79			10.091			23.162

** Highly significant (p < 0.01), * significant (p < 0.05) and ^ns for not significant.