Table 5:
Model #3 – Spatial Lag Covariable Interaction Regression Model Coefficients on Tobacco Outlet Access in Lower Eastern Shore, Maryland – 2011–2015 (n = 50)
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%) | 1.03 | <0.01 | 0.99 | <0.001 |
Median Household Income (per $10000) | 0.19 | <0.001 | 1.00 | <0.001 |
Percentage of Individuals 25+ with at least a Bachelor’s Degree (per 10%) | 0.75 | <0.001 | 1.02 | <0.001 |
Labor Force Participation Rate (per 10%) | 5.50 | <0.001 | 1.03 | <0.001 |
Gini Income Inequality Coefficient (per 1%) | 0.14 | <0.001 | 125.59 | <0.001 |
Vacant Houses (x100) | 0.99 | <0.01 | 1.00 | <0.001 |
Spatial Lag | ||||
White Population Percentage (per 10%) | 1.21 | <0.001 | ||
Median Household Income (per $10000) | 0.27 | <0.001 | ||
Percentage of Individuals 25+ with at least a Bachelor’s Degree (per 10%) | 0.73 | <0.001 | ||
Labor Force Participation Rate(per 10%) | 7.05 | <0.001 | ||
Gini Income Inequality Coefficient (per 1%) | 0.14 | <0.001 | ||
Vacant Houses (x100) | 0.98 | <0.001 |