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 | Â | Â | 61.67 | 4.11 | Â | Â |
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 | Â | Â | 34.45 | 6.89 | Â | Â |
Cor Total | 29 | 7447.65 | Â | Â | Â | 8167.15 | Â | Â | Â |
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 |