Table 4 ANOVA evaluation of the quadratic model for E prediction.

From: Innovative approaches for predicting the elastic modulus and tensile strength of green concrete using soft computing methods

Source

Sum of squares

df

Mean square

F value

p-value Prob > F

 

Model

6303.86

28

225.14

95.74

< 0.0001

Significant

A-WFS/C

28.15

1

28.15

11.97

0.0008

 

B-W/C

89.26

1

89.26

37.96

< 0.0001

 

C-CA/C

54.23

1

54.23

23.06

< 0.0001

 

D-FA/TA

38.64

1

38.64

16.43

< 0.0001

 

E-WFS/FA

0.23

1

0.23

0.097

0.7555

 

F-1000SP/C

12.74

1

12.74

5.42

0.0216

 

G-Age

319.52

1

319.52

135.87

< 0.0001

 

AB

37.33

1

37.33

15.88

0.0001

 

AC

63.63

1

63.63

27.06

< 0.0001

 

AD

10.51

1

10.51

4.47

0.0366

 

AE

67.93

1

67.93

28.89

< 0.0001

 

AG

344.12

1

344.12

146.34

< 0.0001

 

BC

76.48

1

76.48

32.52

< 0.0001

 

BE

49.19

1

49.19

20.92

< 0.0001

 

BF

60.25

1

60.25

25.62

< 0.0001

 

BG

95.18

1

95.18

40.48

< 0.0001

 

CD

155.23

1

155.23

66.01

< 0.0001

 

CE

10.14

1

10.14

4.31

0.0400

 

CF

20.24

1

20.24

8.61

0.0040

 

CG

111.63

1

111.63

47.47

< 0.0001

 

DE

46.05

1

46.05

19.58

< 0.0001

 

DG

327.49

1

327.49

139.27

< 0.0001

 

A2

73.85

1

73.85

31.40

< 0.0001

 

B2

147.49

1

147.49

62.72

< 0.0001

 

C2

181.26

1

181.26

77.08

< 0.0001

 

D2

20.05

1

20.05

8.53

0.0042

 

E2

18.60

1

18.60

7.91

0.0058

 

G2

83.32

1

83.32

35.43

< 0.0001

 

Residual

275.13

117

2.35

   

Lack of fit

254.52

105

2.42

1.41

0.2599

Not significant

Pure error

20.61

12

1.72

   

Cor total

6578.99

145

    
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