CADDIS Volume 3. Examples and Applications: Galleries - Linear Regression: EPT Taxa Richness vs. Metal Toxicity Units for Colorado Streams
- Analysis: Linear regression
- Independent variable: Metal Toxicity Units
- Dependent variable: EPT taxa richness
- Classification variables: none
- Key: dot = observation, solid line = model, dotted line = 95% prediction interval, dashed line = 95% confidence interval
- Sample size: n = 37
- EPT Taxa Richness = 15.731 - 7.509*(Metal Toxicity Units)
- r2 = 0.296
- Date: 12 November, 2006
|Metal Toxicity Units||-7.509||-3.832||0.00051|
- Model generated using SAS Proc GLM with the solution option. The grand mean and corrected sums of squares generated with Proc UNIVARIATE for calculating 95% prediction (eq 2.38a) and confidence intervals (eq 2.41) after Kutner et al. 2005.
- Analysis for sites classified as pH neutral, but with strong AMD input.
- Metal Toxicity Units (TU) were calculated as sum of the ratios of each measured metal concentration with the criterion for that metal.
- Replicate visits to a site were not excluded from the data set.
- Agency: U.S. Environmental Protection Agency
- Program: Environmental Monitoring and Assessment Program (EMAP)
- Project: Colorado Metals Belt Stream Assessment (EPA Region 8)
- Filenames: Files benmet, fishmet and chem downloaded from the Surface Waters Information Management (S.W.I.M.S.) database web site
- Data collected 1994 through 1995.
- Analyzed metals and metalloids: aluminum, arsenic, cadmium, chromium, copper, iron, manganese, nickel, lead, selenium, silver, zinc.
- A description of the sampling methods may be found in the EMAP West Methods Manual for Streams found on the S.W.I.M.S. database web site.