Table 6.
Multiple linear regression results.
| Net benefit | Coef. | Std err. | t | P > |t| | Lower 95% | Upper 95% |
|---|---|---|---|---|---|---|
| Gender | 3.420899** | 1.614716 | 2.12 | 0.034 | 0.2521348 | 6.589664 |
| Age | −1.125491 | 0.8424952 | −1.34 | 0.182 | −2.778827 | 0.5278448 |
| Geo. area | −9.618277*** | 1.558836 | −6.17 | 0.000 | −12.67738 | −6.559174 |
| Employ. status | −3.139479 | 3.313537 | −0.95 | 0.344 | −9.642058 | 3.363099 |
| Commuting | 0.0997133*** | 0.0092379 | 10.79 | 0.000 | 0.0815846 | 0.117842 |
| Out-of-pocket | 0.8577461*** | 0.0081334 | 105.46 | 0.000 | 0.8417849 | 0.8737073 |
| Meal vouchers | –22.50859*** | 0.300218 | −75.02 | 0.000 | –23.09736 | −21.91982 |
| Overtime pay | −0.9858046*** | 0.0095311 | −103.43 | 0.000 | −1.004509 | −0.9671005 |
| Digital tech. | −0.9668573*** | 0.0360329 | −26.83 | 0.000 | −1.037569 | −0.08961453 |
| Electricity | −1.165533*** | 0.0647346 | −18.00 | 0.000 | −1.29257 | −1.038496 |
| Gas | −0.9883353*** | 0.389836 | −25.35 | 0.000 | −1.064838 | −0.9118327 |
| _cons | −36.36426 | 2.822917 | −12.88 | 0.000 | −41.90403 | −30.82449 |
| Obs. | 976 | |||||
| R-squared | 0.9703 | |||||
| Adj. R-squared | 0.9700 | |||||
| F (11, 964) | 2862.73 | |||||
| Prob > F | 0.0000 |
*** p < 0.01, ** p < 0.05.
Source: Authors’ elaboration.