Table 4.

Slope and significance-level data for regression-models of Figure 4.

Effect	Slope (95% upper or lower bound)	One-sided p-value
ln(k) $10	-4.16 (-1.17)	0.014
ln(k) $1000	-2.48 (-0.15)	0.041
ln(k) $1000 cigs	-3.03 (-0.81)	0.015
cigarettes per day	-0.87 (-0.17)	0.022
ln(W-FTMS)	15.93 (1.94)	0.032

Regression slopes, with 95% upper (alternatively, lower) confidence bounds and one-sided p-values, for predictors of grand mean relapse times. Regression slopes were computed individually for each predictor. “ln(k)” = natural logarithm of a discounting coefficient, where commodities discounted are $10 in money, $1000 in money, $1000 worth of cigarettes. Reported cigarettes smoked per day is also a predictor.