Table 2.
Estimated Model with All Variables
| Estimate | SE | t | Pr(>|t|) | |
|---|---|---|---|---|
| (Intercept) | 4.803 | 2.007 | 2.394 | 0.020 |
| AGE | -0.010 | 0.035 | -0.278 | 0.782 |
| EDUCATION | 0.012 | 0.076 | 0.158 | 0.875 |
| WORK | -0.009 | 0.009 | -0.964 | 0.339 |
| WEIGHT | -0.004 | 0.007 | -0.565 | 0.574 |
| BMI: 2 (normal) | -0.944 | 1.246 | -0.758 | 0.451 |
| BMI: 3 (overweight) | -1.301 | 1.291 | -1.008 | 0.317 |
| BMI: 4 (obese) | -1.286 | 1.356 | -0.948 | 0.346 |
| BMI: 5 (morbid) | -0.898 | 1.488 | -0.603 | 0.549 |
| GRAVID: 2 | 0.404 | 0.360 | 1.123 | 0.266 |
| GRAVID: 3 | -0.075 | 0.435 | -0.174 | 0.863 |
| GRAVID: 4+ | -1.036 | 0.486 | -2.133 | 0.037 |
| INCOME | 0.162 | 0.252 | 0.641 | 0.524 |
| GRP: stretching | 0.861 | 0.306 | 2.813 | 0.006 |
Note. This is the output of the linear model of ADHERENCE regressed on all the covariates listed in Table 1. SE and t give the standard error and t-statistic respectively, and Pr(>|t|) gives the corresponding p-value.