Table 3. Linear regression analysis of log transformed tsetse fly catches with sequential addition of photoreceptor excitations as predictors.
| Model | ||||||
| Study | R7y/R8y | +R7p | +R8p | +R1-6 | ||
| G.f. fuscipes | M, T | F test | F2,34 = 2.450, p = 0.101 | F3,33 = 2.923, p = 0.048 | F4,32 = 2.151, p = 0.097 | F5,31 = 1.736, p = 0.156 |
| r2 (F test) | 0.126 (F2,34 = 2.450, p = 0.101) | 0.210 (F1,33 = 3.508, p = 0.070) | 0.212 (F1,32 = 0.081, p = 0.778) | 0.219 (F1,31 = 0.269, p = 0.608) | ||
| Adj. r2 | 0.075 | 0.138 | 0.113 | 0.093 | ||
| G. f. fuscipes | F, T | F test | F2,34 = 7.859, p = 0.002 | F3,33 = 13.669, p<0.001 | F4,32 = 10.426, p<0.001 | F5,31 = 8.081, p<0.001 |
| r2 (F test) | 0.316 (F2,34 = 7.859, p = 0.002) | 0.554 (F1,33 = 17.611, p<0.001) | 0.566 (F1,32 = 0.865, p = 0.359) | 0.566 (F1,31 = 0.003, p = 0.960) | ||
| Adj. r2 | 0.276 | 0.514 | 0.512 | 0.496 | ||
| G. p. palpalis | M, S | F test | F2,24 = 6.998, p = 0.004 | F3,23 = 5.681, p = 0.005 | F4,22 = 4.524, p = 0.008 | F5,21 = 3.510, p = 0.018 |
| r2 (F test) | 0.368 (F2,24 = 6.998, p = 0.004) | 0.426 (F1,23 = 2.293, p = 0.144) | 0.451 (F1,22 = 1.031, p = 0.321) | 0.455 (F1,21 = 0.152, p = 0.700) | ||
| Adj. r2 | 0.316 | 0.351 | 0.352 | 0.326 | ||
| G. p. palpalis | F, S | F test | F2,24 = 4.393, p = 0.024 | F3,23 = 6.867, p = 0.002 | F4,22 = 6.767, p = 0.001 | F5,21 = 5.671, p = 0.002 |
| r2 (F test) | 0.268 (F2,24 = 4.393, p = 0.024) | 0.473 (F1,23 = 8.918, p = 0.007) | 0.552 (F1,22 = 3.883, p = 0.062) | 0.575 (F1,21 = 1.130, p = 0.300) | ||
| Adj. r2 | 0.207 | 0.404 | 0.470 | 0.473 | ||
| G. p. palpalis | M. B | F test | F2,23 = 14.529, p<0.001 | F3,22 = 21.572, p<0.001 | F4,21 = 23.457, p<0.001 | F5,20 = 18.195, p<0.001 |
| r2 (F test) | 0.558 (F2,23 = 14.529, p<0.001) | 0.746 (F1,22 = 16.312, p = 0.001) | 0.817 (F1,21 = 8.132, p = 0.010) | 0.820 (F1,20 = 0.295, p = 0.593) | ||
| Adj. r2 | 0.520 | 0.712 | 0.782 | 0.775 | ||
| G. p. palpalis | F, B | F test | F2,23 = 17.190, p<0.001 | F3,22 = 35.270, p<0.001 | F4,21 = 27.199, p<0.001 | F5,20 = 23.017, p<0.001 |
| r2 (F test) | 0.599 (F2,23 = 17.190, p<0.001) | 0.828 (F1,22 = 29.232, p<0.001) | 0.838 (F1,21 = 1.342, p = 0.260) | 0.852 (F1,20 = 1.855, p = 0.188) | ||
| Adj. r2 | 0.564 | 0.804 | 0.807 | 0.815 | ||
| G. pallidipes | M, F2 | F test | F2,27 = 33.203, p<0.001 | F3,26 = 37.130, p<0.001 | F4,25 = 28.569, p<0.001 | F5,24 = 27.316, p<0.001 |
| r2 (F test) | 0.711 (F2,27 = 33.203, p<0.001) | 0.811 (F1,26 = 13.714, p = 0.001) | 0.820 (F1,25 = 1.357, p = 0.255) | 0.851 (F1,24 = 4.825, p = 0.038) | ||
| Adj. r2 | 0.690 | 0.789 | 0.792 | 0.819 | ||
| G. pallidipes | F, F2 | F test | F2,27 = 51.533, p<0.001 | F3,26 = 50.222, p<0.001 | F4,25 = 41.703, p<0.001 | F5,24 = 35.162, p<0.001 |
| r2 (F test) | 0.792 (F2,27 = 51.533, p<0.001) | 0.853 (F1,26 = 10.674, p = 0.003) | 0.870 (F1,25 = 3.229, p = 0.084) | 0.880 (F1,24 = 2.043, p = 0.166) | ||
| Adj. r2 | 0.777 | 0.836 | 0.849 | 0.855 | ||
Raw data from [5], [7], [11]. Predictors were introduced sequentially, and for each model an F test of the fit of the regression is reported. Also reported for each model is r2, an F test of the change in r2 versus the previous model, and an r2 adjusted for the number of predictors in the model to allow comparison. Adjusted r2 values for models containing only one photoreceptor type as a predictor are provided in Figs. 2 and 3 for comparison. M. = male; F. = female; T = target; S = screen; B = biconical trap; F2 = F2 trap.