Table 6.

Parameter estimates and statistics for quadratic regressions predicting dissimilarity in performance error across SD conditions

					95% Confidence Interval
	β	SE	t(24)	P	Lower bound	Upper bound
ν	−0.218	0.146	−1.495	0.148	−0.518	0.083
η	−0.339	0.228	−1.485	0.150	−0.810	0.132
α1	0.456	0.235	1.940	0.064	−0.029	0.942
ν2	0.426	0.179	2.385	0.025	0.057	0.794
η2	0.228	0.166	1.377	0.181	−0.114	0.570
${\alpha }_1^2$	0.694	0.177	3.926	0.001	0.329	1.058
Intercept	−1.304	0.313	−4.161	0.000	−1.951	−0.657

Fitted model: F(6,24) = 4.858, P = 0.002, R² adjusted = 0.436.