The yearly average stage height were computed as the stage height averaged over the number of 2x2 miles cell in a basin and the number of days in a year. The averages described above use 365 days for common years and 366 days for leap years. The results of the analysis using yearly average rain fall and stage height are shown in Table 2. With yearly averages the Pearson's r r value show a good correlation between rain fall and stage height for most regions in Figure 1. Each of these r value indicate a significant positive correlation at the 0.01 level except WCA-2A which is significant at the 0.05 level.
Most values fall within one standard deviation of the mean of the r values.
The r 2 values indicate that the linear regression explains a large portion of the variation in the data. Overall, while rain fall accounts for a large portion of the variation in stage heights it does not account for all of the variation. These results compare yearly average rain fall for the entire study area as computed by Jane and the yearly average stage heights for a number of sub-regions including Big Cypress, the water conservation areas and the Everglades National Park. I do not currently know how Jane computed rain fall averages. I computed rain fall average as the total rain fall over the study area over the course of a year divided by the number days in that year.