Table 2.
Precipitation variable |
df | Regression parameter |
SE | χ2 | P |
---|---|---|---|---|---|
Ae. albopictus: R2 = 0.7731 | |||||
Intercept | 1 | −0.5594 | 0.3981 | 1.9747 | 0.1600 |
June | 1 | 0.00973 | 0.00164 | 35.3396 | <0.0001 |
Sept. | 1 | 0.00671 | 0.00153 | 19.1546 | <0.0001 |
Oct. | 1 | −0.00570 | 0.00259 | 4.8401 | 0.0278 |
Ae. aegypti: R2 = 0.9779 | |||||
Intercept | 1 | 3.2240 | 0.3252 | 98.2676 | <0.0001 |
June | 1 | −0.00636 | 0.00112 | 32.4146 | <0.0001 |
May | 1 | −0.00622 | 0.00210 | 8.7993 | 0.0030 |
Jan. | 1 | −0.00635 | 0.00252 | 6.3565 | 0.0117 |
Aug. | 1 | −0.00467 | 0.00131 | 12.7440 | 0.0004 |
March | 1 | −0.00708 | 0.00216 | 10.7040 | 0.0011 |
Feb. | 1 | 0.00238 | 0.00114 | 4.3421 | 0.0372 |
Predictor variables listed in order of entry to the stepwise model.