Table 1.

Regression coefficients and statistical parameters describing the effect of the independent variables on TPC and AA of sorghum flour for continuous and batch ultrasonication.

Model term	Regression coefficient estimated
	Continuous flow ultrasonication			Batch ultrasonication
	TPC	AA		TPC	AA
β0	10.4***	112.4***	β0	85.1***	65.9***
β1	0.61***	−1.66***	β1	−2.28***	0.79***
β2	−0.08***	−1.13***	β2	−0.89***	−0.07***
β3	0.85***	0.87***	β3	0.21***	0.83***
β4	0.41***	0.48***	β11	0.05*	−0.09**
β11	−0.02***	0.01*	β22	0.005***	−0.005**
β22	−0.005***	0.005***	β33	−0.0004*	−0.002***
β33	−0.003***	−0.003***	β12	−0.003	−0.002
β44	−0.02***	−0.02***	β13	−0.0001	−0.0003
β12	0.0001	−0.001	β23	−0.00006	0.00004
β13	−0.002	0.0001
β14	−0.001	−0.003
β23	0.001	−0.0001
β24	0.007***	0.002
β34	0.0005	0.001
Adequacy of mathematical model
p (Lack of fit)	0.68	0.98		0.79	0.99
R2	0.98	0.99		0.99	0.99
R2adj	0.96	0.98		0.97	0.98
R2perd	0.92	0.97		0.95	0.99
CV (%)	1.51	1.58		2.87	1.56
p (F value)	0.000	0.000		0.000	0.000

Significant at *p < 0.1, **p < 0.05, ***p < 0.0.01, CV: Coefficient of Variance, adj: adjusted, pred: predicted