Regression Equation

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Stream Categorization Step 1 - Not All Streams Are the Same – Group streams based on physical characteristics Step 2 - Use the Biology – Classify the current status of streams within each group based on fisheries data FOR DISCUSSION PURPOSES ONLY - NOT TO BE CITED
Fish Communities The Fish Tell the Story – Long-lived – Reflect stresses over time – Easily recognized and identified – Well-studied – Good indicators of the condition of the aquatic environment FOR DISCUSSION PURPOSES ONLY - NOT TO BE CITED
Page 1 and 2: Sustainable Water Management Initia
Page 3: Fish and Habitat Study Objectives 1
Page 7 and 8: Preliminary Assessment of Factors I
Page 9 and 10: Preliminary Study Explanatory varia
Page 11 and 12: Preliminary Study Response variable
Page 13 and 14: Regression Equation DRAFT ( Y ) = (
Page 15 and 16: Model Validation Remove-One Model V
Page 17 and 18: Fluvial Density Fluvial Relative Ab
Page 19 and 20: Baseline Impervious Cover “Straw
Page 21 and 22: Fluvial Relative Abundance DRAFT Ba
Page 23 and 24: Brook Trout Relative Abundance DRAF
Page 25 and 26: Quantile Regression Categories - Sp
Page 27 and 28: Fish Community Response 100% 80% 60
Page 33 and 34: Fluvial Relative Abundance Baseline
Page 35 and 36: Example Basin 11031 Regression Equa
Page 37 and 38: Fluvial Relative Abundance Example
Page 39 and 40: Fluvial Relative Abundance Example
Page 41 and 42: 11031 Nashua Reference IC = 3% FOR
Page 43 and 44: SuAsCo Reference IC = 6% FOR DISCUS
Page 45 and 46: Flow Alteration FOR DISCUSSION PURP
Page 47 and 48: FOR DISCUSSION PURPOSES ONLY - NOT

Regression Equation

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