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. 2023 Jul 16;14(1):70–81. doi: 10.1016/j.jtcme.2023.07.002

Table 2.

Analysis of variance for response surface quadratic model.

α-amylase
Source Sum of squares Degrees of freedom Mean of square F value P value
Model 3992.58 9 443.62 61.63 <0.0001 (Significant)
Residual 71.98 10 7.20
Lack of fit 53.89 5 10.78 2.98 0.1280 (not significant)
Pure Error 18.08 5 3.62
Total 4064.55 19
R2
0.982




α-glucosidase
Source
Sum of squares
Degrees of freedom
Mean of square
F value
P value
Model 823.77 9 91.53 25.63 <0.0001 (Significant)
Residual 35.71 10 3.57
Lack of fit 28.17 5 5.63 3.74 0.0870 (not significant)
Pure Error 7.53 5 1.51
Total 859.48 19
R2
0.958




Lipase
Source
Sum of squares
Degrees of freedom
Mean of square
F value
P value
Model 212.27 9 23.59 10.45 0.0005 (Significant)
Residual 22.57 10 2.26
Lack of fit 16.80 5 3.36 2.91 0.1331 (not significant)
Pure Error 5.77 5 1.15
Total 234.84 19
R2
0.903




DPPH
Source
Sum of squares
Degrees of freedom
Mean of square
F value
P value
Model 370.48 9 41.16 20.14 <0.0001 (Significant)
Residual 20.44 10 2.04
Lack of fit 13.43 5 2.69 1.92 0.2463 (not significant)
Pure Error 7.01 5 1.40
Total 390.92 19
R2
0.947




ABTS
Source
Sum of squares
Degrees of freedom
Mean of square
F value
P value
Model 1157.58 9 128.62 13.49 0.0002 (Significant)
Residual 95.35 10 9.54
Lack of fit 76.70 5 15.34 4.11 0.0734 (not significant)
Pure Error 18.65 5 3.73
Total 1252.93 19
R2 0.923