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Table 3 Analysis of variance (ANOVA) for serum oxidative-antioxidative indicators in relation to input variables

From: Role of Anthocleista vogelii in serum antioxidant defence system in cadmium-induced oxidative stress in Wistar rats

Indicators

Source

Sum of squares

Df

Mean square

F Value

p value

Prob > F

Status

MDA

Quadratic model

5579.47

9

619.94

105.48

< 0.0001

Significant

Lack of fit

4.36

3

1.45

0.17

0.9121

Not significant

R2: 0.9916, Adj. R2: 0.9822, Pred. R2: 0.9805, Adeq. precision: 36.692

CAT

Quadratic model

10,936.77

9

1215.20

105.27

< 0.0001

Significant

Lack of fit

48.70

5

9.74

0.73

0.6310

Not significant

R2: 0.9896, Adj. R2: 0.9802, Pred. R2: 0.9711, Adeq. precision: 33.136

SOD

Quadratic model

5049.48

9

561.05

33.78

< 0.0001

Significant

Lack of fit

99.07

4

24.77

2.46

0.1754

Not significant

R2: 0.9712, Adj. R2: 0.9425, Pred. R2: 0.7519, Adeq. precision: 24.512

GST

Quadratic model

1503.56

9

167.06

11.64

0.0001

Significant

Lack of fit

10.20

3

3.40

0.16

0.9172

Not significant

R2: 0.9290, Adj. R2: 0.8492, Pred. R2:0.6802, Adeq. precision: 10.507

POD

Quadratic model

18,447.59

9

2049.73

139.41

< 0.0001

Significant

Lack of fit

93.72

5

18.74

1.76

0.2754

Not significant

R2: 0.9921, Adj. R2: 0.9850, Pred. R2: 0.9499, Adeq. precision: 39.045