Table 2.
Initial multiple regression model.
| DV: NumLine | |||||
|---|---|---|---|---|---|
| Predictor | b | se | t | p | rp |
| NumComp | 4.9E – 3 | 1.1E – 3 | 4.01 | 8.6E – 5 | 0.276 |
| DotComp | –1.6E – 4 | 9.6E – 4 | –0.17 | 0.864 | –0.012 |
| Ravens | 0.35 | 0.09 | 3.81 | 1.9E – 4 | 0.263 |
| NumOrd | 2.0E – 4 | 2.1E – 4 | 0.94 | 0.346 | 0.067 |
| ObjMatch | 5.2E – 4 | 3.6E – 4 | 1.45 | 0.148 | 0.103 |
| DotEst | –11.45 | 12.83 | –0.89 | 0.373 | 0.064 |
| Counting | –8.3E – 4 | 5.0E – 4 | –1.66 | 0.099 | –0.118 |
| VisAud | 1.8E – 4 | 1.0E – 3 | 0.18 | 0.861 | 0.013 |
| Reading | –1.1E – 3 | 0.01 | –0.08 | 0.940 | –0.005 |
| StimResp | –5.6E – 4 | 2.4E – 3 | –0.23 | 0.817 | –0.017 |
| Age | 1.57 | 0.79 | 1.97 | 0.050 | 0.140 |
| Gender | –2.45 | 0.72 | –3.40 | 8.2E – 4 | 0.236 |
Overall adjusted R2 = 0.276, numerator df = 1 for each predictor. Error (denominator) df = 195. rp = partial-r value.