Table 2.
Relationships between the observed, fitted, and simulated sleep probability curves for the parameterization data sets.
| Pearson Correlation (r) |
Mean Sleep Quantity per Rest Period (hours) |
||||
|---|---|---|---|---|---|
| Observed × Fitted | Observed × Simulated | Observed | Fitted | Simulated | |
| LHR-p | |||||
| Pre-pattern | 0.97 | 0.97 | 15.9 | 14.9 | 15.2 |
| Bangkok | 0.83 | 0.88 | 8.8 | 7.1 | 8.3 |
| London | 0.77 | 0.81 | 19.5 | 17.9 | 19.5 |
| Singapore | 0.92 | 0.93 | 18.2 | 14.1 | 15.7 |
| Post-pattern | 0.79 | 0.88 | 10.4 | 8.8 | 9.3 |
| LAX-p | |||||
| Pre-pattern | 0.94 | 0.95 | 14.2 | 15.2 | 14.9 |
| Los Angeles | 0.74 | 0.74 | 13.1 | 9.3 | 10.6 |
| Auckland | 0.66 | 0.77 | 9.8 | 7.1 | 8.2 |
| Post-pattern | 0.96 | 0.98 | 8.9 | 8.7 | 8.5 |
All correlations were significant at the 0.01 α level.