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Table 1 ANOVA and regression coefficient of the first and second degree polynomial regression model

From: Optimization of enzymatic esterification of dihydrocaffeic acid with hexanol in ionic liquid using response surface methodology

Sl. no. Terms P valuea F ratio Regression coefficient Response
1 Constant   β0 −300.110
2 X1 0.000 29.06 β1 18.654
3 X2 0.007 9.84 β2 3.831
4 X3 0.002 14.65 β3 1.182
5 X4 0.000 22.91 β4 8.425
6 \( {\text{X}}_{1}^{2} \) 0.000 83.20 β12 −1.409
7 \( {\text{X}}_{2}^{2} \) 0.007 9.64 β22 −0.052
8 \( {\text{X}}_{3}^{2} \) 0.002 14.56 β32 −0.011
9 \( {\text{X}}_{4}^{2} \) 0.001 15.01 β42 −0.065
10 X1X2 0.000 24.52 β12 0.249
11 X1X3 0.015 7.63 β13 0.058
12 X1X4 0.003 13.12 β14 −0.182
13 X2X4 0.036 5.34 β24 −0.038
R2      0.95
R2 (adj)      0.91
(p value)      0.000a
(F value)      51.26
  1. Concentration of hexanol (×10−4 mM) X1, enzyme amount (%) X2, reaction time (h) X3 and reaction temperature X4
  2. aSignificant (p < 0.05)