AMB Express

Table 3 ANOVA analysis of the predicted responses for quadratic polynomial models

From: Optimization of an efficient solid-phase enrichment medium for Salmonella detection using response surface methodology

Group	Equation	Source	SS	DF	MS	F-value	Prob > F
Y1	CV% = 8.69	Model (Y1)	6080.75	9	675.64	13.76	0.0002
	R² = 0.9253	Residual	491.00	10	49.10
	AdjR² = 0.8580	Lack-of-fit	445.27	5	89.05	9.74	0.0130
	PredR² = − 0.4747	Pure error	45.73	5	9.15
	AdeqP = 10.773	Total	6571.75	19
Y2	CV% = 6.56	Model (Y2)	6418.45	9	713.16	25.47	< 0.001
	R² = 0.9582	Residual	279.98	10	28.00
	AdjR² = 0.9206	Lack-of-fit	271.65	5	54.33	32.60	0.0008
	PredR² = 0.6907	Pure error	8.33	5	1.67
	AdeqP = 15.404	Total	6698.44	19

SS sum of squares, DF degrees of freedom, MS mean squared, CV% variation coefficient, R² determination coefficient, AdjR² adjusted R-squared, PredR² predR-squared, A deqP adequate precision

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