Table 3.

Hierarchical multiple linear regression model with age as a covariate and stepwise inclusion of connectivity-representing components from PCA to predict yto.

Model	Included variables	B	SE B	Beta	R2	Adjusted R2
1	Constant	37.58	7.37
Age	− .56	.18	− .70⁎	.49⁎	.32
2	Constant	31.75	5.52
Age	− .41	.13	− .52⁎
Component 1	− 4.18	1.27	− .56⁎⁎	.77⁎⁎	.61

Note: B = unstandardized regression coefficients; SE B = standard error of B; Beta = standardised regression coefficients.

R² was adjusted according to Stein's formula.

^⁎p < 0.05.

^⁎⁎p < 0.01.