Table 7 Box–Behnken test regression model analysis of variance.

From: Parameter calibration for discrete element simulation of Leymus chinensis seeds based on RSM optimization

Source of variance

Sum of square

Degree of freedom

Mean square

F-value

P-value

Model

486.20

14

34.73

16.85

< 0.0001**

D

0.12

1

0.12

0.06

0.8134

E

8.25

1

8.25

4.00

0.0686*

F

8.38

1

8.38

4.07

0.0667*

G

81.85

1

81.85

39.70

< 0.0001**

DE

41.22

1

41.22

19.99

0.0008**

DF

1.23

1

1.23

0.60

0.4544

DG

0.67

1

0.67

0.33

0.5785

EF

1.19

1

1.19

0.58

0.4624

EG

63.44

1

63.44

30.77

0.0001**

FG

52.49

1

52.49

25.46

0.0003**

D2

5.25

1

5.25

2.55

0.1364

E2

15.62

1

15.62

7.58

0.0175*

F2

64.54

1

64.54

31.31

0.0001**

G2

66.55

1

66.55

32.28

0.0001**

Residual

24.74

12

2.06

Lack of fit

24.71

10

2.47

151.57

0.0065**

Pure error

0.033

2

0.016

  

Sum

510.94

26