Table 2.

Results of Multiple linear regressions on Global effect at SOA 200 ms and 800 ms, and on Location-specific effect at SOA 100 ms and 800 ms.

Modelled effect		Multiple Linear Regression parameters
		Predictors	Estimated partial β	p-Value	Relative weight (%)
Global effect	SOA 200 ms	Years of smoking	1.78	0.0005	37.9
		QSU Brief	9.67	0.005	24.4
		Estimated COHb	−665.40	0.006	17.9
		BAS Fun seeking	−62.91	0.025	10
		Failed attempts to quit	5.09	0.218	9.8
	SOA 800 ms	BIS	−141.88	0.005	43.2
		Failed attempts to quit	6.89	0.093	27.1
		Fagerström	4.45	0.028	20.9
		BAS Reward responsiveness	75.40	0.075	5.4
		BAS Fun seeking	−54.74	0.138	3.4
Location-specific effect	SOA 100 ms	QSU Brief	19.35	0.0006	53.7
		BAS Reward responsiveness	102.02	0.019	21.2
		Fagerström	4.08	0.208	13.7
		STAI-Y State	−23.86	0.078	6.4
		Sex	15.80	0.241	4.9
	SOA 800 ms	Failed attempts to quit	13.14	0.012	27.5
		STAI-Y State	−26.48	0.021	24.9
		BAS Reward responsiveness	74.63	0.035	21.5
		Fagerström	−7.17	0.052	19.2
		Cigarettes per day	1.26	0.150	6.8

Each model comprises the best subset of predictors selected from the initial 13, ordered according to their weight, or the proportion of variance in the model explained by each predictor. β is the estimated partial regression coefficient for each predictor in the model and p value is the probability of its statistical significance.