Table 2. Regression results for pKAM as a sole predictor of peak MC (Model: Const. & pKAM), and when pKFM was entered as a second predictor after accounting for variance attributed to pKAM (Model: Const., pKAM & pKFM).
Model | Beta Coefficients | t | Sig. | R | Adj. R2 | Sig. F Change | |
---|---|---|---|---|---|---|---|
| |||||||
Unstandardized | Std. Error | ||||||
| |||||||
Const. | 1.275 | 0.264 | 4.829 | 0.001 | 0.821 | 0.633 | 0.004 |
pKAM | 0.386 | 0.095 | 4.066 | 0.004 | |||
| |||||||
Const. | 0.834 | 0.209 | 3.988 | 0.005 | 0.940 | 0.851 | 0.009 |
pKAM | 0.340 | 0.062 | 5.485 | 0.001 | |||
pKFM | -0.127 | 0.036 | -3.556 | 0.009 |