Table 4: Multiple regression coefficient of sociodemographic factors affecting smoking.
Statistical indicator | Regression coefficients | |||||
Excluded variables | Predictive variables | Unstandardized Coefficients | Standardized Coefficients | t | Sig | |
Sleep Exercise Daily coffee consumption Working hours Age Nationality Occupation Specialty Specialty subgroups Health sector Monthly income |
B | Std. Error | Beta | |||
Constant | -0.513- | 0.136 | -3.766 | 0.000** | ||
Presence of smoking among friends | 0.249 | 0.061 | 0.229 | 4.092 | 0.000** | |
Presence of smoking among family | 0.210 | 0.053 | 0.221 | 3.952 | 0.000** | |
Number of on-calls per month | 0.050 | 0.018 | 0.151 | 2.688 | 0.008** | |
R2= 0.131 (13.1%), F = 14.098, P = 0.000 |
R2: Square correlation; F for ANOVA; **significant at 0.01 level; *significant at 0.05 level.
N.B: Predictors: Gender, age, education, occupation and medical problems variables were excluded from the model.