Table 1. A linear nested model was used to test whether the Integrator (IT) combined both of his/her target cues.

Participant	Fast				Slow
	F2L vs F2L + F2R		F2R vs F2R + F2L		F2L vs F2L + F2R		F2R vs F2R + F2L
	F-val	p < 0.01	Fval	p < 0.01	F-val	p < 0.01	Fval	p < 0.01
1	87.34	Yes	243.97	Yes	58.00	Yes	111.53	Yes
2	50.64	Yes	288.47	Yes	29.69	Yes	155.28	Yes
3	50.41	Yes	24.72	Yes	76.69	Yes	28.21	Yes
4	147.37	Yes	9.30	Yes	58.19	Yes	67.78	Yes
5	246.59	Yes	422.76	Yes	115.22	Yes	110.54	Yes
6	52.30	Yes	106.39	Yes	165.81	Yes	66.78	Yes

IT’s IMIs were regressed against the IMIs from just a single side (F2L or F2R; Reduced model) and then the IMIs of both F2R and F2L (Full model). The F-statistics and p-values from the difference in sum squared errors of the residuals for each participant in slow and fast interval durations are presented. The results show that the full model better predicts each the IT IMIs for every participant.