Table 4.
Multiple regression analyses of the relation between cycle commuting speed and distance, as well as other predictors. All calculations are based on data coupled to self-reported durations of ≤50 min (n = 1558).
| Model 1 R2 = 0.56 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Outcome Variable | Predictor Variables | |||||||||
| Cycling Velocity (km·h−1) | Distance (km) | Sex (0 = Female; 1 = Male) | Age (years) | Weight (kg) | BMI (kg·m−2) | Last Digit in Duration Self-Reports (0 = 1–4 or 6–9; 1 = 0 or 5) |
Cycling Environment (0 = Suburban; 1 = Suburban–Inner Urban) |
Cycling Environment (0 = Suburban; 1 = Inner Urban) |
||
| y-intercept | 16.2 | unstandardized regression coefficient B | 0.64 | 1.69 | −0.066 | 0.036 | −0.15 | −1.66 | −0.35 | −0.65 |
| 95% CI | 14.8–17.6 | 95% confidence interval | 0.60–0.68 | 1.26–2.13 | −0.079–−0.053 | 0.008–0.064 | −0.25–−0.06 | −1.98–−1.34 | −0.69–−0.02 | −1.03–−0.26 |
| p-value | 0.000 | p-value | 0.000 | 0.000 | 0.000 | 0.011 | 0.001 | 0.000 | 0.038 | 0.001 |
| partial correlation | 0.62 | 0.19 | −0.24 | 0.06 | 0.08 | −0.25 | −0.05 | −0.08 | ||