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Table 3 The ANOVA of removal of heavy metals

From: Optimization of variables for cadmium and copper removal using magnetic nanocomposite

Source

DF

Cadmium

Copper

Sum of squares

Mean square

F-value

P-value

Sum of squares

Mean square

F-value

P-value

Model

14

7412.14

529.44

223.62

 < 0.0001

8105.48

578.96

140.83

 < 0.0001

A

1

2524.99

2524.99

1066.47

 < 0.0001

4190.21

4190.21

1019.26

 < 0.0001

B

1

681.92

681.92

288.02

 < 0.0001

441.53

441.53

107.40

 < 0.0001

C

1

1020.90

1020.90

431.19

 < 0.0001

743.26

743.26

180.80

 < 0.0001

D

1

1684.21

1684.21

711.35

 < 0.0001

1028.35

1028.35

250.14

 < 0.0001

A*B

1

0.3752

0.3752

0.1585

0.6962

6.30

6.30

1.53

0.2348

A*C

1

64.12

64.12

27.08

0.0001

7.59

7.59

1.85

0.1943

A*D

1

11.54

11.54

4.88

0.0432

14.67

14.67

3.57

0.0784

B*C

1

0.3452

0.3452

0.1458

0.7080

10.66

10.66

2.59

0.1282

B*D

1

6.21

6.21

2.62

0.1261

0.6084

0.6084

0.1480

0.7059

C*D

1

41.57

41.57

17.56

0.0008

12.64

12.64

3.07

0.1000

A2

1

217.75

217.75

91.97

 < 0.0001

244.91

244.91

59.57

 < 0.0001

B2

1

998.19

998.19

421.60

 < 0.0001

1049.05

1049.05

255.18

 < 0.0001

C2

1

336.98

336.98

142.33

 < 0.0001

725.89

725.89

176.57

 < 0.0001

D2

1

298.72

298.72

126.17

 < 0.0001

166.58

166.58

40.52

 < 0.0001

Residual

15

35.51

2.37

  

61.67

4.11

  

Lack of Fit

10

26.80

2.68

1.54

0.3314

27.22

2.72

0.3950

0.9009

Pure Error

5

8.71

1.74

  

34.45

6.89

  

Cor Total

29

7447.65

   

8167.15

   

Model summary statistics

Cadmium

Copper

Adeq Precision

R2

Adj-R2

Pred-R2

Adeq Precision

R2

Adj-R2

Pred-R2

56.04

0.9952

0.9908

0.9776

41.65

0.9924

0.9854

0.9747