Table 3.

ANOVA of quadratic models given by the BBD

Dependent variables	Source	Sum of squares	Mean squares	F-value	P-value	Significance
Total flavonoid content	Model	76.20	8.47	111.51	< 0.0001	***
	X1	29.26	29.26	385.36	< 0.0001	***
	X2	0.20	0.20	2.61	0.1500
	X3	2.04	2.04	26.87	0.0013	**
	X1 X2	0.013	0.013	0.17	0.6889
	X1 X3	0.22	0.22	2.85	0.1354
	X2 X3	0.29	0.29	3.77	0.0933
	X21	43.18	43.18	568.61	< 0.0001	***
	X22	0.15	0.15	1.94	0.2059
	X23	0.091	0.091	1.20	0.3091
	Residual	0.53	0.076
	Lack of Fit	0.066	0.022	0.19	0.8982	NS
	Pure Error	0.47	0.12
	Cor Total	76.73
DPPH inhibition	Model	2309.69	256.63	29.42	< 0.0001	***
	X1	988.79	988.79	113.35	< 0.0001	***
	X2	286.56	286.56	32.85	0.0007	***
	X3	77.38	77.38	8.87	0.0206	*
	X1 X2	29.48	29.48	3.38	0.1086
	X1 X3	0.28	0.28	0.032	0.8627
	X2 X3	49.28	49.28	5.65	0.0491	*
	X21	835.49	835.49	95.78	< 0.0001	***
	X22	13.59	13.59	1.56	0.2521
	X23	32.51	32.51	3.73	0.0949
	Residual	61.06	8.72
	Lack of Fit	18.54	6.18	0.58	0.6579	NS
	Pure Error	42.52	10.63
	Cor Total	2370.75

***Significant at p < .001.; **Significant at p < .01.; *Significant at p < .05.; NS = Not Significant