Table 6 Analysis of variance (ANOVA) of data from 24 factorial design tests.

From: Optimization and induction effect evaluation of complex inducer of Aquilaria sinensis based on factorial design

Source

Sum of Squares

df

Mean Square

F-Value

P-Value

 

Model

1.6000

14

0.1100

21.58

0.0006

Significant

A-MeJA

0.1700

1

0.1700

32.52

0.0013

 

B-FA

0.0660

1

0.0660

12.44

0.0124

 

C-A13

0.0031

1

0.0031

0.59

0.4711

 

D-Time

0.4100

1

0.4100

76.98

0.0001

 

AB

0.0790

1

0.0790

15.00

0.0082

 

AC

0.0002

1

0.0002

0.03

0.8647

 

AD

0.1300

1

0.1300

24.30

0.0026

 

BC

0.0000

1

0.0000

0.01

0.9262

 

BD

0.1600

1

0.1600

30.88

0.0014

 

CD

0.0003

1

0.0003

0.06

0.8114

 

ABC

0.0870

1

0.0870

16.44

0.0067

 

ABD

0.0220

1

0.0220

4.21

0.0861

 

ACD

0.0290

1

0.0290

5.53

0.0569

 

BCD

0.0550

1

0.0550

10.35

0.0182

 

Residual

0.0320

6

0.0053

   

Lack of Fit

0.0320

1

0.0320

   

Pure Error

0

5

0

   

Cor Total

1.63

20

    
  1. 1 C.V. = 26.6%; R2 = 0.9805; Adj R2 = 0.9351; Adeq. precision = 16.667.