Table 2.
Simple linear regression model of the effect of aging on the temperatures of the regions of interest.
| Scale | B | SE | β | t | P-value | Adjusted R2 |
|---|---|---|---|---|---|---|
| Body Temperature (°C) |
-0.001 | 0.001 | -0.050 | -0.576 | 0.566 | 0.050 |
| R0 (°C) | -0.029 | 0.012 | -0.210 | -2.469 | 0.015 | 0.037 |
| R1 (°C) | -0.029 | 0.012 | -0.210 | -2.473 | 0.015 | 0.044 |
| R2 (°C) | -0.029 | 0.012 | -0.208 | -2.449 | 0.016 | 0.036 |
| R3 (°C) | -0.027 | 0.013 | -0.178 | -2.080 | 0.039 | 0.024 |
| R4 (°C) | -0.029 | 0.012 | -0.205 | -2.411 | 0.017 | 0.035 |
| R5 (°C) | -0.028 | 0.011 | -0.215 | -2.529 | 0.013 | 0.046 |
| R6 (°C) | -0.027 | 0.012 | -0.198 | -2.315 | 0.022 | 0.039 |
Note: B: regression coefficient; SE: standard error; β: standardized regression coefficient.