Table 4.

Multiple regression between predictor and outcome measures

Outcome		DF	$R^2$	$F^2$	$P$	$P$(residuals)
Target Hits	Full Model	631	0.78	3.59	< 10–6	0.71
	Predictors	$\beta$	${\mathit{sr}}^2$	$s{f}^2$	$\mathit{sp}$	Tolerance
	Extrafoveal Hits	− 0.54	0.133	0.61	< 10–6	0.83
	Objects Foveated	− 0.32	0.034	0.16	< 10–6	0.88
	Gaze-Hand Distance	− 0.22	0.015	0.07	< 10–3	0.83
	Mean Hand-Speed	− 0.14	0.006	0.03	0.02	0.89
	Target Foveation Time	− 0.11	0.003	0.01	0.12	0.72
	Foveation Time Difference	− 0.07	0.002	0.01	0.08	0.79

Outcome	Predictors	DF	$R^2$	$F^2$	$P$	$P$(residuals)
Distractors Avoided	Full Model	631	0.66	1.90	< 10–6	0.48
	Predictors	$\beta$	${\mathit{sr}}^2$	$s{f}^2$	$\mathit{sp}$	Tolerance
	Gaze-Hand Distance	− 0.24	0.014	0.04	0.01	0.86
	Hand-Speed Bias	− 0.09	0.005	0.01	0.03	0.95
	Extrafoveal Hits	− 0.04	0.001	0.00	0.32	0.83
	Foveation Time Difference	− 0.04	0.001	0.00	0.40	0.90
	Target Foveation Time	− 0.01	0.000	0.00	0.94	0.74
	Objects Foveated	− 0.01	0.000	0.00	0.95	0.88

Bold indicates measures that exhibited meaningful relationships with Targets Hit or Distractors Avoided (sf² ≥ 0.02).