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Table 8. Correlation between Independent Variables (Excluding Life-cycle Indicators) for the Sample Used to Predict Person Miles in the Midwest Region, by Urban Group

Friday, November 22, 2024
 
Census Region/ Division Urban Group Variable Household Income Count of Household Vehicles Count of Household Members Number of Workers in Household Homeowner 1+ child
Midwest Urban Household Income 1.00 0.39 0.15 0.36 0.56 0.22
Suburban 1.00 0.44 0.29 0.42 0.54 0.24
Rural 1.00 0.37 0.31 0.42 0.51 0.30
Urban Count of Household Vehicles 0.39 1.00 0.24 0.46 0.48 0.23
Suburban 0.44 1.00 0.33 0.48 0.64 0.15
Rural 0.37 1.00 0.33 0.44 0.49 0.24
Urban Count of Household Members 0.15 0.24 1.00 0.35 0.06 0.82
Suburban 0.29 0.33 1.00 0.45 0.08 0.89
Rural 0.31 0.33 1.00 0.45 0.19 0.85
Urban Number of Workers in Household 0.36 0.46 0.35 1.00 0.20 0.36
Suburban 0.42 0.48 0.45 1.00 0.19 0.40
Rural 0.42 0.44 0.45 1.00 0.30 0.41
Urban Homeowner (1=Yes; 0=No) 0.56 0.48 0.06 0.20 1.00 0.09
Suburban 0.54 0.64 0.08 0.19 1.00 -0.03
Rural 0.51 0.49 0.19 0.30 1.00 0.09
Urban 1+ child <18 (1=Yes; 0=No) 0.22 0.23 0.82 0.36 0.09 1.00
Suburban 0.24 0.15 0.89 0.40 -0.03 1.00
Rural 0.30 0.24 0.85 0.41 0.09 1.00

NOTE: Pearson correlation used between continuous independent variables, polychoric correlation between binary and continuous independent variables, and tetrachoric correlation between binary independent variables. Homeowner and 1+ child <18 are binary variables; all other variables are continuous.

Return to all tables and figures in the Bureau of Transportation Statistics’ 2009 Local Area Transportation Characteristics by Household methodology