Table 10. Regression Output For Models Examining the Association Between the Amygdala and Income.

Region of Interest (Dependent Variable)	Independent Variables	Unstandardized regression coefficients, Standard Error, Standardized regression coefficients, test statistics
Total Amygdala	Maternal Education	B = −0.0003, SE = 0.002, β = −.01, t = −0.17 p = .867
	Paternal Education	B = 0.0013, SE = 0.002, β = .040, t = .679 p = .498
	Income	B = 0.031, SE = 0.021, β = .088, t = 1.483 p = .139
Left Amygdala	Maternal Education	B = −0.001, SE = 0.002, β = −.013, t = −0.22 p = .830
	Paternal Education	B = 0.001, SE = 0.002, β = .030, t = 0.509 p = .611
	Income	B = 0.034, SE = 0.022, β = .091, t = 1.529 p = .127
Right Amygdala	Maternal Education	B = −0.0002, SE = 0.002, β = −.007, t = −0.11 p = .91
	Paternal Education	B = 0.002, SE = 0.002, β = .048, t = 0.805 p = .421
	Income	B = 0.029, SE = 0.021, β = .080, t = 1.343 p = .180

NB: All regression models included child age (in months), gender of the child (dummy-coded), and whole-brain volume as covariates.