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. 2021 May 7;30(5):663–673. doi: 10.1007/s10068-021-00897-w

Table 2.

Analysis of variance of the second order polynomial models for the responses

Source df Sum of Squares Mean Square F-value p-value
Hesperetin
Regression 9 9.24 1.03 18.40 0.0004
Lack of Fit 5 0.38 0.08 11.11 0.0847
Pure error 2 0.01 0.01
R2 0.96 R2adj 0.91
Naringenin
Regression 9 0.17 0.02 43.11 0.0000
Lack of Fit 5 0.00 0.00 7.01 0.1295
Pure error 2 0.00 0.00
R2 0.98 R2adj 0.96
TPC
Regression 9 20119.83 2235.54 8.24 0.0055
Lack of Fit 5 1335.92 267.189 0.975 0.5854
Pure error 2 564.00 282.00
R2 0.91 R2adj 0.80
DPPH RSC
Regression 9 196.00 21.78 27.18 0.0001
Lack of Fit 5 4.93 0.99 2.92 0.2748
Pure error 2 0.68 0.34
R2 0.97 R2adj 0.94
FRAP
Regression 9 5322.80 591.42 8.90 0.0044
Lack of Fit 5 396.77 79.35 2.31 0.3290
Pure error 2 68.65 34.33
R2 0.92 R2adj 0.82

R2, the coefficient of determination; R2adj, the adjusted coefficient

TPC total phenolic compounds, DPPH RSC 2,2-diphenyl-1-picrylhydrazyl radical’s scavenging capacity, FRAP ferric reducing antioxidant power, GAE gallic acid equivalent, QE quercetin equivalent, AAE ascorbic acid equivalent.