Table 5. Selected coefficients of the repeated, k-fold cross-validated Ridge regression models predicting one parameter from all parameters of a different task.

The table includes all significant coefficients and selected non-significant coefficients.

Predicted parameter (Task)	Predicting parameter (Task)	Coefficient	$p$	sig.
Noise/exploration (A)	Exploration $\frac{1}{\beta }$ (B)	0.14	0.031	*
	${\alpha }_{-}$ (B)	0.14	0.032	*
	Persistence (B)	–0.19	0.0029	**
	Noise ${\displaystyle ϵ}$ (C)	0.12	0.038	*
	${\alpha }_{-}$ (C)	–0.18	0.045	*
		–0.19	0.023	*
Noise/exploration (B)	Noise/exploration (A)	0.09	0.27	–
Noise/exploration (C)	Noise/exploration (A)	0.04	0.63	–
${\alpha }_{+}$ (A)	${\alpha }_{-}$ (C)	0.22	0.011	*
	${\displaystyle \rho }$ (C)	0.16	0.050	*
	$K$ (C)	0.15	0.020	*
	Exploration ${\displaystyle \frac{1}{\beta }}$ (B)	0.19	0.0026	**
	${\alpha }_{-}$ (B)	–0.21	${\displaystyle <0.001}$	***
	${\alpha }_{+}$ (B)	0.0042	0.94	–
	Persistence (B)	0.23	${\displaystyle <0.001}$	***
${\alpha }_{+}$(B)	$\frac{1}{\beta }$ (A)	–0.077	0.37	–
	${\alpha }_{+}$ (A)	0.058	0.48	–
	${\alpha }_{+}$ (C)	–0.00018	0.99	–
	${\alpha }_{-}$ (C)	–0.000055	1.00	–
	Forgetting (A)	0.015	0.82	–
${\alpha }_{+}$ (C)	${\alpha }_{+}$ (A)	0.20	0.013	*
${\alpha }_{-}$ (B)	${\alpha }_{+}$ (A)	–0.25	0.0018	**
${\alpha }_{-}$ (C)(C)	${\alpha }_{+}$ (A)	0.24	0.0022	**