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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