Ranking list of linear multiple regression models applied to describe the effect of main natural water ions on mercury removal efficiency by Akaike's Information Criterion (AIC).
Model elementsa | Coefficient | Standard error | T value | Pr(>|t|) | P-value |
---|---|---|---|---|---|
Intercept | 105.47 | 5.23 | 20.15 | 0.0001 | 0.001 |
NO3− | 0.70 (a) | 0.43 | 1.62 | 0.120 | 0.1 |
SO42− | 0.17 (b) | 0.05 | 2.8 | 0.009 | 0.001 |
Cl− | 0.31 (c) | 0.08 | 3.66 | 0.001 | 0.001 |
HCO3− | 0.15 (d) | 0.04 | 3.51 | 0.002 | 0.001 |
Na+ | −0.29 (e) | 0.14 | −1.95 | 0.064 | 0.05 |
K+ | −0.47 (f) | −0.27 | −1.75 | 0.093 | 0.05 |
Mg2+ | −1.15 (g) | −0.29 | −3.89 | 0.0008 | 0.001 |
Ca2+ | −0.73 (h) | −0.15 | −4.69 | 0.0001 | 0.001 |
Multiple R2: 0.81, adjusted R2: 0.73.