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. âln(k)â = 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.