Open Access
Table 5
Values provided by a simple linear regression when used to calculate the relationship between the frequency of habitats with Galba truncatula and the mean altitude, mean annual rainfall or mean annual temperature in different municipalities of Haute Vienne. Abbreviation: df, degrees of freedom.
| Equation and coefficients | Estimate | Standard error (S.E.) | 95% confidence intervals | t value | p-value |
|---|---|---|---|---|---|
| Frequency = a.altitude + b | |||||
| a | −1.79 × 10−3 | 8.83 × 10−5 | [−1.96 × 10−3; −1.62 × 10−3] | −20.26 | p < 0.001 |
| b | 1.14 | 3.03 × 10−2 | [1.08; 1.20] | 37.70 | p < 0.001 |
| Residual S.E.: 0.106; df: 177 | |||||
| Multiple R2: 0.699; adjusted R2: 0.697 | |||||
| Frequency = a.rainfall + b | |||||
| a | −1.07 × 10−3 | 1.17 × 10−4 | [−1.30 × 10−3; −8.39 × 10−4] | −9.161 | p < 0.001 |
| b | 1.65 | 0.12 | [1.41; 1.89] | 13.65 | p < 0.001 |
| Residual S.E.: 0.159; df: 177 | |||||
| Multiple R2: 0.322; adjusted R2: 0.318 | |||||
| Frequency = a.temperature + b | |||||
| a | 0.36 | 0.03 | [0.31; 0,41] | 14.46 | p < 0.001 |
| b | −3.40 | 0.27 | [−3.94; −2.86] | −12.44 | p < 0.001 |
| Residual S.E.: 0.131; df: 177 | |||||
| Multiple R2: 0.542; adjusted R2: 0.539 | |||||
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