Table 2. A regression analysis between metal distributions in the selected specimens.
Species and metals | Regression equation | Standard error | Pearson’s r | P values | R2 (%) |
---|---|---|---|---|---|
A. bato | |||||
As | y = 8.66+0.99x | 0.404 | 0.774 | 0.070 | 58.1 |
Pb | y = 11.88+0.09x | 0.511 | 0.088 | 0.867 | 0.8 |
Cd | y = 13.44–0.31x | 5.166 | -0.029 | 0.955 | 0.01 |
Cr | y = 12.70+0.16x | 1.25 | 0.063 | 0.904 | 0.4 |
Cu | y = 11.56+0.11x | 0.168 | 0.313 | 0.545 | 9.8 |
P. chinensis | |||||
As | y = 4.19 + 0.55x | 0.449 | 0.522 | 0.287 | 27.3 |
Pb | y = 5.14 + 0.13x | 0.243 | 0.257 | 0.621 | 6.6 |
Cd | y = 5.72 + 2.81x | 3 | 0.425 | 0.4 | 18.1 |
Cr | y = 5.75 + 0.34x | 0.8 | 0.205 | 0.695 | 4.2 |
Cu | y = 4.58 + 0.18x | 0.157 | 0.502 | 0.309 | 25.3 |
L. parsia | |||||
As | y = -0.96 + 0.73x | 0.16 | 0.914 | 0.01 | 83.7 |
Pb | y = 7.79 + 0.84x | 0.711 | 0.51 | 0.301 | 26.0 |
Cd | y = 0.12 + 0.03x | 0.036 | 0.378 | 0.459 | 14.3 |
Cr | y = 1.86 + 0.2x | 0.139 | 0.58 | 0.227 | 33.7 |
Cu | y = 4.24 + 0.72x | 0.346 | 0.719 | 0.107 | 51.7 |
M. cephalus | |||||
As | y = 2.08+0.11x | 0.09 | 0.5 | 0.311 | 25.0 |
Pb | y = 23.98–0.42x | 0.309 | -0.557 | -0.557 | 31.0 |
Cd | y = 0.87–0.02x | 0.016 | -0.547 | 0.26 | 30.0 |
Cr | y = 4.04–0.03x | 0.075 | -0.217 | 0.68 | 4.7 |
Cu | y = 16.95–0.21x | 0.257 | -0.364 | 0.477 | 13.3 |
H. limbatus | |||||
As | y = -4.63+0.89x | 0.309 | 0.821 | 0.045 | 67.5 |
Pb | y = 1.09+1.156x | 0.778 | 0.596 | 0.211 | 35.6 |
Cd | y = 0.36–0.001x | 0.048 | -0.014 | 0.978 | 0.01 |
Cr | y = -0.6+0.38x | 0.238 | 0.620 | 0.189 | 38.5 |
Cu | y = 2.54+0.91x | 0.749 | 0.519 | 0.291 | 26.9 |
T. toli | |||||
As | y = 0.48+ 0.16x | 0.059 | 0.8 | 0.05 | 63.9 |
Pb | y = 3.74+0.32x | 0.012 | 0.997 | 1.11E-5 | 99.5 |
Cd | y = 0.35–0.01x | 0.013 | -0.042 | 0.936 | 0.2 |
Cr | y = -1.22+ 0.14x | 0.08 | 0.662 | 0.152 | 43.8 |
Cu | y = 0.37 + 0.34x | 0.237 | 0.581 | 0.227 | 33.7 |