. 2019 Oct 1;8(10):445. doi: 10.3390/antiox8100445

Table 4.

Analysis of variance (ANOVA) for the fitted quadratic models for optimization of G. glabra extraction process.

	TP					TPy
r ²	r² = 0.9329; r_A² = 0.8467; r_P² = 0.8027					r² = 0.9325; r_A² = 0.8457; r_P² = 0.8389
Source	SS	df	MS	F Value	p-value	SS	df	MS	F Value	p-value
Model	379,961.7	9	42,218	10.82	0.0024	565,610.6	9	62,845.62	10.74213	0.0025
Lack of Fit	2607.6	3	869	0.14	0.9305	2337.216	3	779.072	0.0807	0.9671
Pure Error	24,713.9	4	6178			38,615.51	4	9653.877
	Gla					Iso
r ²	r² = 0.9739; r_A² = 0.9403; r_P² = 0.7444					r² = 0.9307; r_A² = 0.8415; r_P² = 0.6810
Source	SS	df	MS	F Value	p-value	SS	df	MS	F Value	p-value
Model	277.3	9	30.811	29.01	<0.0001	17.23	9	1.915	10.44	0.0027
Lack of Fit	4.24	3	1.412	1.76	0.2926	0.27	3	0.09	0.36	0.7892
Pure Error	3.2	4	0.8			1.01	4	0.253

SS = Sum of Squares; df = degrees of freedom; MS = Mean Square. r_A² = adjusted r²; r_P² = predicted r². TP, TPy, Gla, Iso: concentration of total phenols, TP/X₃ ratio, glabridin and isoliquiritigenin, respectively.