TABLE 2.
Predictor variable | Estimate (SE) |
N (DF) | Model RMSE |
Model R2 |
Model F-statistic |
Lower α-asymmetry (8–10.5 Hz) | −0.008* (0.003) | 230 (228) | 0.981 | 0.035 | 8.28** |
Upper α-asymmetry (11–13 Hz) | −0.005 (0.003) | 0.863 | 0.011 | 2.61 |
Column 2: p-values next to the Beta (β) coefficients and their standard error (SE) indicate a significant association between the predictor and the response variable at 95% confidence level (*), 99% confidence level (**) and 99.9% confidence level (***). Column 3: number of observations (N) and degrees of freedom (DF). Column 4–6: root mean square error (RMSE), R-squared, and F-statistic of the linear model. p-values next to F-statistic indicate a significant fit (see above for confidence levels). The multiple linear model follows the equation: Response variable ∼ 1 + predictor1 + predictor2.