I'm trying to calculate a scaled odds ratio for an analysis that I'm working on. I have two types of independent variables in the model: 1) percentage data (0-100%) and 2) Euclidean distance to nearest roads. The distance to road data was collected in 1-meter increments; therefore, the odds ratio below for roads_eucl would read for every 1 unit change in distance to nearest road, I would expect a 0.3% decline in use. This doesn't seem very informative given the scale of 1-meter. How would you scale the distance to represent every 10-meters or every 100-meters? In addition, how would you interpret the odds ratio for the percentage data? For example, would you state: for every 1-unit increase in MPHW_Perc, I would expect a 0.8% increase in use? This seems low; therefore, would you scale the percentage somehow? Thanks for the help!
OR 2.5 % 97.5 % (Intercept) 0.7143840 0.6550213 0.7789487 MPHW_Perc 1.0089051 1.0077426 1.0100719 HW_Perc 1.0016561 0.9998965 1.0034183 AG_Perc 1.0084294 1.0071395 1.0097238 Shrub_Perc 1.0129566 1.0095038 1.0164309 roads_eucl 0.9976233 0.9973553 0.9978902 MP_Perc 1.0050919 1.0039986 1.0061888