##
## Call:
## lm(formula = MCLcountry ~ ((Age0 + Sex + Race + PovStat)^4 +
## Neighborhood02), data = MeasurementData)
##
## Residuals:
## MCL: SES Standing in country
## Min 1Q Median 3Q Max
## -5.037 -1.313 -0.517 1.781 5.178
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.38455 0.58028 9.28 < 2e-16
## Age0 -0.00148 0.01159 -0.13 0.90
## Sex1 0.03457 0.87119 0.04 0.97
## Race1 -0.30434 0.92975 -0.33 0.74
## PovStat1 -0.57287 0.78153 -0.73 0.46
## Neighborhood02 -0.25945 0.04033 -6.43 1.5e-10
## Age0:Sex1 -0.00819 0.01815 -0.45 0.65
## Age0:Race1 -0.01245 0.01934 -0.64 0.52
## Age0:PovStat1 0.01433 0.01599 0.90 0.37
## Sex1:Race1 1.82982 1.52684 1.20 0.23
## Sex1:PovStat1 -0.20206 1.20609 -0.17 0.87
## Race1:PovStat1 0.05441 1.21388 0.04 0.96
## Age0:Sex1:Race1 -0.02311 0.03168 -0.73 0.47
## Age0:Sex1:PovStat1 0.01189 0.02477 0.48 0.63
## Age0:Race1:PovStat1 0.01264 0.02503 0.51 0.61
## Sex1:Race1:PovStat1 -1.47871 1.92998 -0.77 0.44
## Age0:Sex1:Race1:PovStat1 0.02151 0.03973 0.54 0.59
##
## Residual standard error: 1.96 on 2124 degrees of freedom
## Multiple R-squared: 0.0535, Adjusted R-squared: 0.0464
## F-statistic: 7.51 on 16 and 2124 DF, p-value: <2e-16
##
## Call:
## lm(formula = MCLcountry ~ ((Age0 + Sex + Race + PovStat)^3 +
## Neighborhood02), data = MeasurementData)
##
## Residuals:
## MCL: SES Standing in country
## Min 1Q Median 3Q Max
## -5.059 -1.270 0.458 1.530 5.134
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.296107 0.556718 9.51 < 2e-16
## Age0 0.000357 0.011083 0.03 0.97
## Sex1 0.246487 0.778177 0.32 0.75
## Race1 -0.063830 0.816619 -0.08 0.94
## PovStat1 -0.405509 0.717674 -0.57 0.57
## Neighborhood02 -0.258930 0.040315 -6.42 1.6e-10
## Age0:Sex1 -0.012680 0.016141 -0.79 0.43
## Age0:Race1 -0.017549 0.016889 -1.04 0.30
## Age0:PovStat1 0.010841 0.014633 0.74 0.46
## Sex1:Race1 1.182726 0.949921 1.25 0.21
## Sex1:PovStat1 -0.601970 0.953274 -0.63 0.53
## Race1:PovStat1 -0.351862 0.953981 -0.37 0.71
## Age0:Sex1:Race1 -0.009435 0.019115 -0.49 0.62
## Age0:Sex1:PovStat1 0.020247 0.019361 1.05 0.30
## Age0:Race1:PovStat1 0.021180 0.019430 1.09 0.28
## Sex1:Race1:PovStat1 -0.452949 0.367431 -1.23 0.22
##
## Residual standard error: 1.96 on 2125 degrees of freedom
## Multiple R-squared: 0.0534, Adjusted R-squared: 0.0467
## F-statistic: 7.99 on 15 and 2125 DF, p-value: <2e-16
##
## Call:
## lm(formula = MCLcountry ~ ((Age0 + Sex + Race + PovStat)^2 +
## Neighborhood02), data = MeasurementData)
##
## Residuals:
## MCL: SES Standing in country
## Min 1Q Median 3Q Max
## -5.023 -1.956 -0.133 1.044 5.101
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.63029 0.45179 12.46 < 2e-16
## Age0 -0.00739 0.00873 -0.85 0.3971
## Sex1 -0.08103 0.46413 -0.17 0.8614
## Race1 -0.41035 0.46926 -0.87 0.3820
## PovStat1 -1.11253 0.47420 -2.35 0.0191
## Neighborhood02 -0.26028 0.04028 -6.46 1.3e-10
## Age0:Sex1 -0.00387 0.00932 -0.42 0.6781
## Age0:Race1 -0.00793 0.00939 -0.84 0.3983
## Age0:PovStat1 0.02710 0.00949 2.86 0.0043
## Sex1:Race1 0.44161 0.17710 2.49 0.0127
## Sex1:PovStat1 0.19912 0.17782 1.12 0.2629
## Race1:PovStat1 0.47779 0.18091 2.64 0.0083
##
## Residual standard error: 1.96 on 2129 degrees of freedom
## Multiple R-squared: 0.0517, Adjusted R-squared: 0.0468
## F-statistic: 10.6 on 11 and 2129 DF, p-value: <2e-16
##
## Call:
## lm(formula = MCLcountry ~ (PovStat * Age0 + Sex * Race + Race *
## PovStat + Neighborhood02 + Educ + Employment01 + acasiincomx01),
## data = MeasurementData)
##
## Residuals:
## MCL: SES Standing in country
## Min 1Q Median 3Q Max
## -5.007 -1.802 -0.672 1.468 5.053
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.64669 0.48525 9.58 < 2e-16
## PovStat1 -1.30240 0.45444 -2.87 0.00420
## Age0 -0.00616 0.00715 -0.86 0.38902
## Sex1 -0.18246 0.10981 -1.66 0.09676
## Race1 -0.82263 0.15310 -5.37 8.6e-08
## Neighborhood02 -0.19038 0.04017 -4.74 2.3e-06
## Educ 0.09321 0.01528 6.10 1.2e-09
## Employment011 0.33461 0.09439 3.55 0.00040
## acasiincomx01 -0.30629 0.09064 -3.38 0.00074
## PovStat1:Age0 0.02571 0.00918 2.80 0.00513
## Sex1:Race1 0.43555 0.17042 2.56 0.01067
## PovStat1:Race1 0.42194 0.17678 2.39 0.01708
##
## Residual standard error: 1.92 on 2129 degrees of freedom
## Multiple R-squared: 0.0932, Adjusted R-squared: 0.0885
## F-statistic: 19.9 on 11 and 2129 DF, p-value: <2e-16
##
## Call:
## lm(formula = MCLcountry ~ ((PovStat + Age0)^2 + Sex + Race +
## Neighborhood02 + Educ + Employment01 + acasiincomx01), data = MeasurementData)
##
## Residuals:
## MCL: SES Standing in country
## Min 1Q Median 3Q Max
## -4.38 -1.95 0.02 1.19 5.18
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.45087 0.48351 9.21 < 2e-16
## PovStat1 -1.13048 0.44991 -2.51 0.01205
## Age0 -0.00601 0.00717 -0.84 0.40233
## Sex1 0.00380 0.08442 0.04 0.96413
## Race1 -0.37684 0.08640 -4.36 1.4e-05
## Neighborhood02 -0.19910 0.04013 -4.96 7.6e-07
## Educ 0.09562 0.01529 6.25 4.8e-10
## Employment011 0.34486 0.09456 3.65 0.00027
## acasiincomx01 -0.29539 0.09081 -3.25 0.00116
## PovStat1:Age0 0.02553 0.00920 2.77 0.00558
##
## Residual standard error: 1.92 on 2131 degrees of freedom
## Multiple R-squared: 0.0875, Adjusted R-squared: 0.0837
## F-statistic: 22.7 on 9 and 2131 DF, p-value: <2e-16
##
## Call:
## lm(formula = MCLcountry ~ ((Sex + Race)^2 + PovStat + Age0 +
## Neighborhood02 + Educ + Employment01 + acasiincomx01), data = MeasurementData)
##
## Residuals:
## MCL: SES Standing in country
## Min 1Q Median 3Q Max
## -4.576 -1.902 -0.057 1.574 5.135
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.80365 0.40075 9.49 < 2e-16
## Sex1 -0.18812 0.11007 -1.71 0.08758
## Race1 -0.57809 0.11275 -5.13 3.2e-07
## PovStat1 0.08618 0.09579 0.90 0.36843
## Age0 0.00903 0.00457 1.97 0.04854
## Neighborhood02 -0.19600 0.04012 -4.88 1.1e-06
## Educ 0.09549 0.01529 6.24 5.1e-10
## Employment011 0.34536 0.09456 3.65 0.00027
## acasiincomx01 -0.28694 0.09073 -3.16 0.00159
## Sex1:Race1 0.46633 0.17042 2.74 0.00626
##
## Residual standard error: 1.92 on 2131 degrees of freedom
## Multiple R-squared: 0.0874, Adjusted R-squared: 0.0836
## F-statistic: 22.7 on 9 and 2131 DF, p-value: <2e-16
##
## Call:
## lm(formula = MCLcountry ~ ((PovStat + Race)^2 + Sex + Age0 +
## Neighborhood02 + Educ + Employment01 + acasiincomx01), data = MeasurementData)
##
## Residuals:
## MCL: SES Standing in country
## Min 1Q Median 3Q Max
## -4.565 -1.653 -0.243 1.131 6.063
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.783253 0.400375 9.45 < 2e-16
## PovStat1 -0.081889 0.117046 -0.70 0.48423
## Race1 -0.657727 0.139271 -4.72 2.5e-06
## Sex1 -0.000958 0.084476 -0.01 0.99096
## Age0 0.009577 0.004574 2.09 0.03639
## Neighborhood02 -0.187780 0.040280 -4.66 3.3e-06
## Educ 0.093602 0.015321 6.11 1.2e-09
## Employment011 0.355351 0.094505 3.76 0.00017
## acasiincomx01 -0.293221 0.090815 -3.23 0.00126
## PovStat1:Race1 0.449851 0.176807 2.54 0.01102
##
## Residual standard error: 1.92 on 2131 degrees of freedom
## Multiple R-squared: 0.087, Adjusted R-squared: 0.0832
## F-statistic: 22.6 on 9 and 2131 DF, p-value: <2e-16
With CES
##
## Call:
## lm(formula = MCLcountry ~ (PovStat * Age0 + Sex * Race + Race *
## PovStat + Neighborhood02 + Educ + Employment01 + acasiincomx01 +
## CES), data = MeasurementData)
##
## Residuals:
## MCL: SES Standing in country
## Min 1Q Median 3Q Max
## -5.100 -1.276 0.735 1.156 6.195
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.35266 0.47932 11.17 < 2e-16
## PovStat1 -1.21271 0.44416 -2.73 0.00638
## Age0 -0.00863 0.00700 -1.23 0.21738
## Sex1 -0.20274 0.10733 -1.89 0.05903
## Race1 -0.73605 0.14985 -4.91 9.7e-07
## Neighborhood02 -0.15014 0.03946 -3.80 0.00015
## Educ 0.07757 0.01501 5.17 2.6e-07
## Employment011 0.17389 0.09360 1.86 0.06335
## acasiincomx01 -0.21282 0.08906 -2.39 0.01695
## CES -0.03876 0.00384 -10.08 < 2e-16
## PovStat1:Age0 0.02316 0.00897 2.58 0.00989
## Sex1:Race1 0.39438 0.16658 2.37 0.01800
## PovStat1:Race1 0.41357 0.17275 2.39 0.01675
##
## Residual standard error: 1.87 on 2128 degrees of freedom
## Multiple R-squared: 0.134, Adjusted R-squared: 0.13
## F-statistic: 27.6 on 12 and 2128 DF, p-value: <2e-16