CSEMP assessment of mercury in biota at Tees Bay
Statistical analysis
Trend assessment
Analysis of variance
| | Df | AIC | AICc | Log lik | Deviance | Chisq | Chi df | Pr(>Chisq) |
| mean | 1 | 51.13 | 52.93 | -22.56 | 45.13 | | | |
| linear | 2 | 52.93 | 56.49 | -22.47 | 44.93 | 0.197 | 1 | 0.6572 |
| smooth (df = 2) | 3 | 54.70 | 60.95 | -22.35 | 44.70 | 0.233 | 1 | 0.6294 |
| smooth (df = 3) | 4 | 52.94 | 63.22 | -20.47 | 40.94 | 3.759 | 1 | 0.0525 |
Change in log concentration
| | Year start | Year end | Fit start | Fit end | Change | Std error | t | Pr(>|t|) |
| overall | 2001 | 2017 | 4.088 | 4.224 | 0.13555 | 0.30422 | 0.446 | 0.6645 |
| last 20 years | 2001 | 2017 | 4.088 | 4.224 | 0.13555 | 0.30422 | 0.446 | 0.6645 |
Status assessment
| | Conc fitted | Conc ref | Log ratio | Std error | t | Pr(>t) |
| BAC | 68.3 | 35.0 | -0.6686 | 0.1945 | -3.437 | 0.9972 |
| EC | 68.3 | 500.0 | 1.9906 | 0.1945 | 10.234 | <0.0001 |
Raw data with supporting information
Raw data with assessment
Assessment plot
Metals data
Metals assessment
Related pages
- Clean Seas Environment Monitoring Programme (CSEMP) accessment viewer tool
- Assessment methodology for metals in biota
- Accessment criteria for metals in biota
