Table 2.
Logistic regression results (N = 56).
Category | Significance of model | Explained distribution | Model’s foodness of fit | Prediction results | |||
---|---|---|---|---|---|---|---|
χ2 | P | Cox & Snell R Square | −2 Log likelihood | Hosmer and Lemeshow Test (Sig.) | Correctly predicted % | ||
Input all measurements | FFR | 77.632 | 0.000*** | 0.750 | 0.000a | 1.000 | 100 |
ISO + key lit | 32.041 | 0.031* | 0.436 | 45.591a | 0.551 | 78.6 | |
ISO | 29.147 | 0.047* | 0.406 | 48.485a | 0.400 | 82.1 | |
Input all PCs | FFR | 12.672 | 0.049* | 0.203 | 64.960a | 0.810 | 67.9 |
ISO + key lit | 2.767 | 0.736 | 0.048 | 74.866a | 0.276 | 60.7 | |
ISO | 2.792 | 0.732 | 0.049 | 74.841a | 0.449 | 57.1 | |
Input top 5 measurements from PCA† | FFR | 14.762 | 0.011* | 0.232 | 62.870a | 0.617 | 71.4 |
ISO + key lit | 2.852 | 0.723 | 0.050 | 74.781a | 0.323 | 53.6 | |
ISO | 2.852 | 0.723 | 0.050 | 74.781a | 0.066 | 53.6 |
* P < 0.05 ***P < 0.00
†To make the condition equivalent (5 measurements for each FFR-specific and traditional anthropometry), the FFR-specific face anthropometry’s PC 6 was not included in the analysis.