Table 2. Multiple Regression Analysis.
B | SE B | β | p | |
---|---|---|---|---|
Model 1 - ΔFB-P3 as the criterion | ||||
Constant | 2.21 | .89 | .02 | |
ΔEarly-RP | -.99 | .48 | -.42 | .05 |
ΔS-SPN | -.67 | .43 | -.32 | .13 |
| ||||
Model 2- ΔLPP as the criterion | ||||
Constant | .96 | .71 | .19 | |
ΔEarly-RP | .07 | .38 | .03 | .86 |
ΔS-SPN | -1.01 | .34 | -.65 | .004 |
Note. R2 = .41 (p = .006) for Model 1; R2 = .40 for Model 2 (p = .006); Collinearity statistics (Tolerance = .74, VIF = 1.35) indicated that multicollinearity between the predictors was not a concern; The criteria (including, the ΔFB-P3 and ΔLPP) were calculated by subtracting ERPs in No-Reward trials from ERPs in Reward trials, collapsing across Bad-Performance and Good-Performance epochs.