Table 2.

Final models for each of the three tasks. IV: independent variable, r: correlation with the response on that task, ΔR²: increase in R² when IV is added to regression model

IV	Standardized coefficient	t	Sig.	r	ΔR2	Tolerance
A. Final model for numerosity
Intercept		64.0	<0.001
Δ Occupancy radius = 5	−0.608	8.9	<0.001	−0.567	0.322	0.658
Δ Total degree radius = 10	−0.391	5.2	<0.001	0.034	0.059	0.534
Δ Convex hull	−0.228	2.7	<0.01	−0.316	0.023	0.440
B. Final model for dispersion
Intercept		63.5	<0.001
Δ Total degree radius = 10	−0.295	8.1	<0.001	−0.519	0.269	0.714
Δ Occupancy radius = 5	−0.527	6.1	<0.001	0.017	0.057	0.405
Δ Total degree radius = 5	−0.349	4.4	<0.001	−0.283	0.061	0.361
C. Final model for clustering
Intercept		60.2	<0.001
Δ Occupancy radius = 10	0.399	5.0	<0.001	0.649	0.421	0.429
Δ Total degree radius = 10	−0.284	3.7	<0.001	−0.594	0.032	0.462
Δ Local clustering radius = 3	−0.147	2.7	<0.01	−0.303	0.019	0.898