Table 4.
Hierarchical regression analysis for variables predicting FKA score.
| Regression 1 |
Regression 2 |
Regression 3 |
||||
|---|---|---|---|---|---|---|
| Predictor variable | β | SE | β | SE | β | SE |
| RT | –0.02 | 0.01 | –0.02* | 0.01 | –0.01 | 0.01 |
| ACC | 0.03** | 0.01 | 0.03** | 0.01 | 0.02 | 0.01 |
| FSIQ | 0.02* | 0.01 | 0.02* | 0.01 | 0.03* | 0.01 |
| SNARC | –0.02 | 0.01 | –0.01 | 0.01 | ||
| Number Line Est. (PAE) | –0.03** | 0.01 | ||||
| R2 | 0.13 | 0.15 | 0.23 | |||
| ΔR2 | 0.02 | 0.07** | ||||
∗p < 0.05, ∗∗p < 0.01, all reported R2 are adjusted. n = 88.