Table 2.
Regression Analysis
Arrow | AG - BASE | r2 | p | AG - APEX | r2 | p |
---|---|---|---|---|---|---|
1 | 0.49 | 0.728 | 0.0310 | 0.81 | 0.584 | 0.2360 |
2 | 0.53 | 0.768 | 0.0220 | 0.46 | 0.909 | 0.001 |
3 | 0.32 | 0.977 | 0.001 | 0.60 | 0.699 | 0.1640 |
4 | 0.30 | 0.917 | 0.003 | 0.48 | 0.742 | 0.1390 |
5 | 0.29 | 0.959 | 0.001 | 0.46 | 0.609 | 0.2200 |
6 | 0.29 | 0.970 | 0.001 | 0.31 | 0.814 | 0.0980 |
7 | 0.25 | 0.834 | 0.0300 | 0.59 | 0.492 | 0.2990 |
8 | 0.29 | 0.921 | 0.004 | 0.41 | 0.969 | 0.002 |
MN±SE | 0.34±0.039 | 0.89±0.034 | 0.011±.005 | 0.52±0.053 | 0.73±0.058 | 0.144±0.038 |
AG = activation gradient