Coefficient (95% CI) | Exponentiated coefficient (95% CI) | p Value | |
---|---|---|---|
Predicted high temperature (°F) | 0.021 (0.017 to 0.026) | 1.022 (1.017 to 1.026) | <0.001 |
Rain chance | |||
No chance | Ref. | Ref. | Ref. |
Under 50% | −0.087 (−0.220 to 0.046) | 0.916 (0.802 to 1.046) | 0.195 |
50% or more | −0.506 (−0.821 to −0.191) | 0.603 (0.440 to 0.826) | 0.002 |
Actual rain | −0.326 (−0.646 to −0.006) | 0.722 (0.524 to 0.994) | 0.046 |
Evening | 0.042 (−0.094 to 0.178) | 1.043 (0.910 to 1.195) | 0.543 |
Friday | −0.231 (−0.412 to −0.050) | 0.794 (0.663 to 0.951) | 0.013 |
The model also controls for observation site. CIs and p values use Newey-West SEs, which are robust SEs further adjusted for possible serial correlation. In this model, the coefficient represents the change in the logarithm of the number of observed cyclists per unit change of explanatory variables. The exponentiated coefficient represents the multiplicative increase in observed cyclists per unit change of explanatory variables.