Table 2.
Multiple Regression Analyses for ΔReward (Reward-Trial minus No-Reward-Trial) EEG indices predicting ln(k)
| B | SE B | β | P | Tolerance | VIF | |
|---|---|---|---|---|---|---|
| Constant | −3.87 | .32 | <.001 | |||
| ΔReward pre-feedback alpha | .30 | .25 | .21 | .23 | .71 | 1.41 |
| ΔReward feedback-locked theta following Good-Performance feedback | −.37 | .18 | −.36 | .04 | .71 | 1.42 |
| ΔReward feedback-locked beta (collapsing across Bad- and Good-Performance feedback) | −.75 | .39 | −.28 | .06a | .99 | 1.01 |
Note. R2 = .31 (p = .006); Collinearity statistics (Tolerance and VIF) indicate that multicollinearity between the predictors was not a concern.
a
became significant (p = .03) after a bivariate outlier was removed (see Figure 12).