Table 3A.

Based on sequential linear regression model tests.

Y	Model	Equation of Y	F value	R	R2 (%)	R2 change
K	Linear	−0.018x + 3.95	F(1, 23) = 46.8***	0.36	12.7	0.1
t0	Quadratic	−0.64x + 0.009x2 + 27.3	F(2, 322) = 16.0***	0.25	6.1	2.9
C	Linear	−0.446x + 72.13	F(1, 323) = 37.4***	0.32	10.4	0.0
α	Quadratic	0.024x + (−0.0002x2) + 0.28	F(2, 322) = 7.9**	0.16	2.6	2.1
DSS	Linear	−0.398x + 78.4	F(1, 275) = 94.9***	0.51	25.7	0.0
gF	Linear	0.001x + 0.23	F(1, 318) = 173.0***	0.59	35.2	0.1

R² change refers to increase in R² when a quadratic term is added to the model. F- and p-values presented for the linear model except in case of t₀ and α, for which the R² change was significantly improved after adding the quadratic age term. ^*p ≤ 0.01,

^**p ≤ 0.001,

^***p ≤ 0.0001.