. 2019 Apr 20;24(8):1571. doi: 10.3390/molecules24081571

Table 4.

Analysis of variance for response surface quadratic model.

Response	Source	Sum of Squares	df	Mean Square	F Value	p-Value Prob > F
HMF	Model	5116.26	5	1023.25	67.18	<0.0001
	A	3280.59	1	3280.59	215.37	<0.0001
	B	427.55	1	427.55	28.07	0.0011
	AB	209.38	1	209.38	13.75	0.0076
	A²	1134.95	1	1134.95	74.51	<0.0001
	B²	151.58	1	151.58	9.95	0.0160
	Residual	106.63	7	15.23
	Lack of Fit	105.44	3	35.15	118.31	0.0002
	Pure Error	1.19	4	0.30
	Cor Total	5222.88	12
	R²	0.9796	Adj R²	0.9650	Pred R²	0.8561
ACR	Model	2.136E + 005	5	42721.52	45.34	<0.0001
	A	1.258E+005	1	1.258E+005	133.57	<0.0001
	B	7514.39	1	7514.39	7.98	0.0256
	AB	8878.35	1	8878.35	9.42	0.0181
	A²	70940.47	1	70940.47	75.30	<0.0001
	B²	199.76	1	199.76	0.21	0.6592
	Residual	6595.08	7	942.15
	Lack of Fit	6594.22	3	2198.07	10226.93	<0.0001
	Pure Error	0.86	4	0.21
	Cor Total	2.202E + 005	12
	R²	0.9700	Adj R²	0.9487	Pred R²	0.7870