Step | R | R2
| Std. Error | Δ R2
| Δ F
| Δ F p value
|
---|
1 | .450a
| .202 | 9.740 | .202 | 12.661 | .001 |
2 | .655b
| .428 | 8.327 | .226 | 19.410 | .000 |
3 | .832c
| .692 | 6.177 | .263 | 41.051 | .000 |
4 | .873d
| .762 | 5.484 | .070 | 13.894 | .001 |
- Multiple linear regression based on all SVM Model 1 features achieved maximum fit based on frontal gamma during encoding and central theta 1 during retention. Features selected using forward-stepwise entry in the following order: 1 Central Retain Theta 1 – correct; 2 (1) + Frontal Encode Gamma – correct; 3 (1, 2) + Frontal Encode Gamma – incorrect, 4 Predictors (1, 2, 3) + Central Retain Theta 1 – incorrect