Table 3:
Model # 4 – Sociodemographic Variable Interaction Coefficients of Spatial Lag Regression on Tobacco Outlet Density in Montgomery County, Maryland Relative to Howard County, Maryland – 2011–2015 (n = 215)
| Variable | Multivariable Model | |||
|---|---|---|---|---|
| Focal & Spatial Lag | Focal & Spatial Lag Interaction | |||
| Exponentiated Beta | p-value | Exponentiated Beta | p-value | |
| Focal Effects | ||||
| White Population Percentage (per 10%) | 0.87 | <0.001 | 1.00 | <0.001 |
| Median Household Income (per $10000) | 0.90 | <0.001 | 1.00 | <0.001 |
| Percentage of Individuals 25+ with at least a Bachelor’s Degree (per 10%) | 2.93 | <0.001 | 0.99 | <0.001 |
| Labor Force Participation Rate (per 10%) | 9.25 | <0.001 | 0.97 | <0.001 |
| Gini Income Inequality Coefficient (per 1%) | 0.77 | <0.001 | 2.15 | <0.001 |
| Vacant Houses (x100) | 1.63 | <0.001 | 1.00 | <0.001 |
| Spatial Lag | ||||
| White Population Percentage (per 10%) | 1.48 | <0.001 | ||
| Median Household Income (per $10000) | 0.87 | <0.001 | ||
| Percentage of Individuals 25+ with at least a Bachelor’s Degree (per 10%) | 1.47 | <0.001 | ||
| Labor Force Participation Rate (per 10%) | 17.18 | <0.001 | ||
| Gini Income Inequality Coefficient (per 1%) | 0.83 | <0.001 | ||
| Vacant Houses (x100) | 1.20 | |||
| County | 0.81 | <0.001 | ||