Skip to main content

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)