Simple graphs are a very good way to look for overall patterns
in the data. They can help identify trends as well as
deficiencies. Common graphing methods are: Comparative
statistics are used to assess the strengths of the relationships
among different datasets (e.g., streamflow and sediment
concentration, paired watersheds, BACI.) Some common techniques
are: Analysis of variance (ANOVA) It is important to know the
difference between a correlation and a regression relationship.
Both describe the strength of relationship between two
quantitative variables. Correlation (r) does not distinguish
between explanatory and response variables. Regressions (r2)
distinguish between dependent (response) and independent
(explanatory) variables.