Research Article
The Influence of Precipitation and Consecutive Dry Days on Burned Areas in Yunnan Province, Southwestern China
Table 3
The quintile regression equation of burned areas for different rainfall amounts.
| Quintile | | | | | | | Predicted burned area (ha) (95% confidence interval) |
| 1% | 2.268 | 0.212 | −0.013 | 0.002 | 0.49 | <0.01 | 0.18~2.47 | 5% | 3.460 | 0.618 | −0.019 | 0.005 | 0.49 | <0.01 | 0.23~3.32 | 25% | 15.732 | 1.172 | −0.017 | 0.006 | 0.40 | <0.01 | 0.52~15.02 | 50% | 29.361 | 2.518 | −0.016 | 0.007 | 0.35 | <0.01 | 0.83~28.67 | 75% | 43.372 | 3.763 | −0.016 | 0.008 | 0.34 | <0.01 | 1.15~41.16 | 95% | 57.106 | 5.580 | −0.016 | 0.008 | 0.33 | <0.01 | 1.40~55.28 | 96% | 386.517 | 8.538 | −0.193 | 0.008 | 0.80 | <0.01 | 10.03~80.29 | 97% | 526.281 | 9.325 | −0.182 | 0.007 | 0.90 | <0.01 | 16.51~86.53 | 98% | 758.167 | 10.311 | −0.200 | 0.008 | 0.95 | <0.01 | 18.35~90.61 | 99% | 851.777 | 12.651 | −0.175 | 0.006 | 0.96 | <0.01 | 21.96~98.49 |
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S.E. denotes standard error of the parameters.
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