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. 2021 May 25;11(31):18915–18929. doi: 10.1039/d1ra01411k

Analysis of variance (ANOVA) for DH (Y1), and IC50 of lipase inhibition (Y2) via the response surface quadratic model.

Source df Y 1 Y 2
Sum of square Mean square F-value P-value Sum of square Mean square F-value P-value
Model 9 211.46 23.50 24.59 <0.0001a 619.70 68.86 107.72 <0.0001a
X 1 1 24.21 24.21 25.34 0.0005a 9.58 9.58 14.99 0.0031a
X 2 1 119.66 119.66 125.23 <0.0001a 18.60 18.60 29.10 0.0003a
X 3 1 37.63 37.63 39.38 <0.0001a 60.83 60.83 95.17 <0.0001a
X 1 X 2 1 1.30 1.30 1.36 0.2698 33.88 33.88 53.01 <0.0001a
X 1 X 3 1 4.85 4.85 5.08 0.0479a 8.39 8.39 13.13 0.0047a
X 2 X 3 1 0.01 0.01 0.01 0.9185 71.90 71.90 112.48 <0.0001a
X 1 2 1 15.28 15.28 15.99 0.0025a 316.33 316.33 494.90 <0.0001a
X 2 2 1 2.15 2.15 2.25 0.1645 91.64 91.64 143.37 <0.0001a
X 3 2 1 10.05 10.05 10.52 0.0088a 74.49 74.49 116.54 <0.0001a
Residual 10 9.55 9.56 6.39 0.6392
Lack of fit 5 6.81 1.36 2.49 0.1701 3.69 0.7388 1.39 0.3694
Pure error 5 2.74 0.55 2.70 0.5396
Cor total 19 221.01 626.09
Std dev. 0.9775 0.7995
R 2 0.9568 0.9898
Adj R2 0.9179 0.9806
a

Indicates those variables which significantly influence the response variables (p < 0.05).