load(file='/Users/meganwilliams/Desktop/Research/HANDLS Data/MeasurementData.rdata')
library("effects", lib.loc="/Library/Frameworks/R.framework/Versions/3.0/Resources/library")
## Loading required package: colorspace
##
## Attaching package: 'effects'
##
## The following object is masked from 'package:car':
##
## Prestige
m.1.1 = lm(MCLcountry~(Educ + Employment01 + acasiincomx01 + Neighborhood02 + PovStat),MeasurementData)
m.1.2 = lm(MCLcountry~(Age0 + Sex + Race + PovStat + Educ + Employment01 + acasiincomx01 + Neighborhood02),MeasurementData)
m.1.3 = lm(MCLcountry~(Age0 + Sex + Race + PovStat + Educ + Employment01 + acasiincomx01 + Neighborhood02 + CES),MeasurementData)
m.4.1 = lm(MCLcountry~((Age0 + Sex + Race + PovStat)^4 + Neighborhood02),MeasurementData)
m.4.2 = lm(MCLcountry~((Age0 + Sex + Race + PovStat)^4 + Neighborhood02 + Educ + Employment01 + acasiincomx01),MeasurementData)
m.4.3 = lm(MCLcountry~((Age0 + Sex + Race + PovStat)^4 + Neighborhood02 + Educ + Employment01 + acasiincomx01 + CES),MeasurementData)
m.3.1 = lm(MCLcountry~((Age0 + Sex + Race + PovStat)^3 + Neighborhood02),MeasurementData)
m.3.2 = lm(MCLcountry~((Age0 + Sex + Race + PovStat)^3 + Neighborhood02 + Educ + Employment01 + acasiincomx01),MeasurementData)
m.3.3 = lm(MCLcountry~((Age0 + Sex + Race + PovStat)^3 + Neighborhood02 + Educ + Employment01 + acasiincomx01 + CES),MeasurementData)
m.2.1 = lm(MCLcountry~((Age0 + Sex + Race + PovStat)^2 + Neighborhood02),MeasurementData)
m.2.2 = lm(MCLcountry~((Age0 + Sex + Race + PovStat)^2 + Neighborhood02 + Educ + Employment01 + acasiincomx01),MeasurementData)
m.2.3 = lm(MCLcountry~((Age0 + Sex + Race + PovStat)^2 + Neighborhood02 + Educ + Employment01 + acasiincomx01 + CES),MeasurementData)
Summary and All Effects for Model 1.1 (No Demographics)
##
## Call:
## lm(formula = MCLcountry ~ (Educ + Employment01 + acasiincomx01 +
## Neighborhood02 + PovStat), data = MeasurementData)
##
## Residuals:
## MCL: SES Standing in country
## Min 1Q Median 3Q Max
## -4.327 -1.906 -0.549 1.777 5.414
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.9549 0.3218 12.29 < 2e-16
## Educ 0.0949 0.0154 6.17 8.0e-10
## Employment011 0.3417 0.0938 3.64 0.00027
## acasiincomx01 -0.2250 0.0903 -2.49 0.01278
## Neighborhood02 -0.2061 0.0403 -5.12 3.4e-07
## PovStat1 0.0671 0.0954 0.70 0.48178
##
## Residual standard error: 1.93 on 2135 degrees of freedom
## Multiple R-squared: 0.0741, Adjusted R-squared: 0.0719
## F-statistic: 34.1 on 5 and 2135 DF, p-value: <2e-16
## model: MCLcountry ~ (Educ + Employment01 + acasiincomx01 + Neighborhood02 +
## PovStat)
##
## Educ effect
## Educ
## 5 10 15 20
## 3.650 4.124 4.599 5.074
##
## Lower 95 Percent Confidence Limits
## Educ
## 5 10 15 20
## 3.408 4.012 4.488 4.834
##
## Upper 95 Percent Confidence Limits
## Educ
## 5 10 15 20
## 3.891 4.236 4.710 5.314
##
## Employment01 effect
## Employment01
## 0 1
## 4.169 4.511
##
## Lower 95 Percent Confidence Limits
## Employment01
## 0 1
## 4.036 4.397
##
## Upper 95 Percent Confidence Limits
## Employment01
## 0 1
## 4.302 4.625
##
## acasiincomx01 effect
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.481 4.368 4.256 4.143 4.031
##
## Lower 95 Percent Confidence Limits
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.358 4.286 4.138 3.951 3.756
##
## Upper 95 Percent Confidence Limits
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.604 4.450 4.374 4.336 4.306
##
## Neighborhood02 effect
## Neighborhood02
## 1 2 3 4 5
## 4.831 4.625 4.419 4.212 4.006
##
## Lower 95 Percent Confidence Limits
## Neighborhood02
## 1 2 3 4 5
## 4.634 4.496 4.334 4.112 3.847
##
## Upper 95 Percent Confidence Limits
## Neighborhood02
## 1 2 3 4 5
## 5.028 4.754 4.503 4.313 4.166
##
## PovStat effect
## PovStat
## 0 1
## 4.325 4.392
##
## Lower 95 Percent Confidence Limits
## PovStat
## 0 1
## 4.189 4.279
##
## Upper 95 Percent Confidence Limits
## PovStat
## 0 1
## 4.461 4.506
Summary and All Effects for Model 1.2 (With Demographics)
summary(m.1.2)
##
## Call:
## lm(formula = MCLcountry ~ (Age0 + Sex + Race + PovStat + Educ +
## Employment01 + acasiincomx01 + Neighborhood02), data = MeasurementData)
##
## Residuals:
## MCL: SES Standing in country
## Min 1Q Median 3Q Max
## -4.49 -1.94 -0.83 1.71 5.22
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.69171 0.39927 9.25 < 2e-16
## Age0 0.00933 0.00458 2.04 0.04176
## Sex1 0.00515 0.08455 0.06 0.95142
## Race1 -0.37984 0.08653 -4.39 1.2e-05
## PovStat1 0.08918 0.09593 0.93 0.35268
## Educ 0.09583 0.01532 6.26 4.7e-10
## Employment011 0.35580 0.09463 3.76 0.00017
## acasiincomx01 -0.28431 0.09086 -3.13 0.00178
## Neighborhood02 -0.19655 0.04018 -4.89 1.1e-06
##
## Residual standard error: 1.92 on 2132 degrees of freedom
## Multiple R-squared: 0.0842, Adjusted R-squared: 0.0808
## F-statistic: 24.5 on 8 and 2132 DF, p-value: <2e-16
e.1.2 = allEffects(m.1.2)
summary(e.1.2)
## model: MCLcountry ~ (Age0 + Sex + Race + PovStat + Educ + Employment01 +
## acasiincomx01 + Neighborhood02)
##
## Age0 effect
## Age0
## 30 35 40 45 50 55 60
## 4.198 4.244 4.291 4.338 4.384 4.431 4.477
##
## Lower 95 Percent Confidence Limits
## Age0
## 30 35 40 45 50 55 60
## 4.018 4.103 4.183 4.252 4.300 4.327 4.341
##
## Upper 95 Percent Confidence Limits
## Age0
## 30 35 40 45 50 55 60
## 4.378 4.386 4.399 4.423 4.468 4.534 4.613
##
## Sex effect
## Sex
## 0 1
## 4.362 4.367
##
## Lower 95 Percent Confidence Limits
## Sex
## 0 1
## 4.254 4.242
##
## Upper 95 Percent Confidence Limits
## Sex
## 0 1
## 4.470 4.492
##
## Race effect
## Race
## 0 1
## 4.523 4.143
##
## Lower 95 Percent Confidence Limits
## Race
## 0 1
## 4.415 4.015
##
## Upper 95 Percent Confidence Limits
## Race
## 0 1
## 4.631 4.271
##
## PovStat effect
## PovStat
## 0 1
## 4.312 4.402
##
## Lower 95 Percent Confidence Limits
## PovStat
## 0 1
## 4.176 4.288
##
## Upper 95 Percent Confidence Limits
## PovStat
## 0 1
## 4.449 4.515
##
## Educ effect
## Educ
## 5 10 15 20
## 3.643 4.122 4.601 5.080
##
## Lower 95 Percent Confidence Limits
## Educ
## 5 10 15 20
## 3.403 4.011 4.491 4.842
##
## Upper 95 Percent Confidence Limits
## Educ
## 5 10 15 20
## 3.883 4.234 4.712 5.319
##
## Employment01 effect
## Employment01
## 0 1
## 4.161 4.517
##
## Lower 95 Percent Confidence Limits
## Employment01
## 0 1
## 4.027 4.403
##
## Upper 95 Percent Confidence Limits
## Employment01
## 0 1
## 4.295 4.631
##
## acasiincomx01 effect
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.512 4.369 4.227 4.085 3.943
##
## Lower 95 Percent Confidence Limits
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.388 4.288 4.109 3.892 3.667
##
## Upper 95 Percent Confidence Limits
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.635 4.451 4.346 4.278 4.219
##
## Neighborhood02 effect
## Neighborhood02
## 1 2 3 4 5
## 4.809 4.613 4.416 4.220 4.023
##
## Lower 95 Percent Confidence Limits
## Neighborhood02
## 1 2 3 4 5
## 4.613 4.484 4.332 4.119 3.864
##
## Upper 95 Percent Confidence Limits
## Neighborhood02
## 1 2 3 4 5
## 5.005 4.741 4.500 4.320 4.182
plot(e.1.2)
Summary and All Effects for Model 1.3 (With Demographics and Depression)
summary(m.1.3)
##
## Call:
## lm(formula = MCLcountry ~ (Age0 + Sex + Race + PovStat + Educ +
## Employment01 + acasiincomx01 + Neighborhood02 + CES), data = MeasurementData)
##
## Residuals:
## MCL: SES Standing in country
## Min 1Q Median 3Q Max
## -4.219 -1.402 -0.433 1.814 6.251
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.49656 0.39787 11.30 < 2e-16
## Age0 0.00525 0.00449 1.17 0.24242
## Sex1 -0.03299 0.08266 -0.40 0.68987
## Race1 -0.31470 0.08475 -3.71 0.00021
## PovStat1 0.05327 0.09376 0.57 0.57001
## Educ 0.07987 0.01504 5.31 1.2e-07
## Employment011 0.19068 0.09383 2.03 0.04226
## acasiincomx01 -0.19099 0.08922 -2.14 0.03240
## Neighborhood02 -0.15576 0.03945 -3.95 8.1e-05
## CES -0.03933 0.00386 -10.20 < 2e-16
##
## Residual standard error: 1.88 on 2131 degrees of freedom
## Multiple R-squared: 0.127, Adjusted R-squared: 0.123
## F-statistic: 34.4 on 9 and 2131 DF, p-value: <2e-16
e.1.3 = allEffects(m.1.3)
summary(e.1.3)
## model: MCLcountry ~ (Age0 + Sex + Race + PovStat + Educ + Employment01 +
## acasiincomx01 + Neighborhood02 + CES)
##
## Age0 effect
## Age0
## 30 35 40 45 50 55 60
## 4.270 4.297 4.323 4.349 4.375 4.402 4.428
##
## Lower 95 Percent Confidence Limits
## Age0
## 30 35 40 45 50 55 60
## 4.094 4.158 4.217 4.266 4.294 4.300 4.295
##
## Upper 95 Percent Confidence Limits
## Age0
## 30 35 40 45 50 55 60
## 4.447 4.435 4.429 4.433 4.457 4.503 4.561
##
## Sex effect
## Sex
## 0 1
## 4.378 4.345
##
## Lower 95 Percent Confidence Limits
## Sex
## 0 1
## 4.273 4.223
##
## Upper 95 Percent Confidence Limits
## Sex
## 0 1
## 4.484 4.468
##
## Race effect
## Race
## 0 1
## 4.496 4.181
##
## Lower 95 Percent Confidence Limits
## Race
## 0 1
## 4.390 4.056
##
## Upper 95 Percent Confidence Limits
## Race
## 0 1
## 4.602 4.306
##
## PovStat effect
## PovStat
## 0 1
## 4.333 4.387
##
## Lower 95 Percent Confidence Limits
## PovStat
## 0 1
## 4.200 4.276
##
## Upper 95 Percent Confidence Limits
## PovStat
## 0 1
## 4.467 4.497
##
## Educ effect
## Educ
## 5 10 15 20
## 3.763 4.162 4.562 4.961
##
## Lower 95 Percent Confidence Limits
## Educ
## 5 10 15 20
## 3.527 4.053 4.454 4.727
##
## Upper 95 Percent Confidence Limits
## Educ
## 5 10 15 20
## 3.999 4.272 4.670 5.196
##
## Employment01 effect
## Employment01
## 0 1
## 4.255 4.446
##
## Lower 95 Percent Confidence Limits
## Employment01
## 0 1
## 4.124 4.334
##
## Upper 95 Percent Confidence Limits
## Employment01
## 0 1
## 4.387 4.558
##
## acasiincomx01 effect
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.463 4.368 4.272 4.177 4.081
##
## Lower 95 Percent Confidence Limits
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.343 4.288 4.156 3.987 3.810
##
## Upper 95 Percent Confidence Limits
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.584 4.447 4.388 4.366 4.353
##
## Neighborhood02 effect
## Neighborhood02
## 1 2 3 4 5
## 4.717 4.561 4.405 4.250 4.094
##
## Lower 95 Percent Confidence Limits
## Neighborhood02
## 1 2 3 4 5
## 4.524 4.435 4.323 4.152 3.938
##
## Upper 95 Percent Confidence Limits
## Neighborhood02
## 1 2 3 4 5
## 4.909 4.687 4.488 4.348 4.250
##
## CES effect
## CES
## 0 10 20 30 40 50
## 4.944 4.551 4.158 3.765 3.371 2.978
##
## Lower 95 Percent Confidence Limits
## CES
## 0 10 20 30 40 50
## 4.807 4.464 4.069 3.625 3.165 2.700
##
## Upper 95 Percent Confidence Limits
## CES
## 0 10 20 30 40 50
## 5.082 4.639 4.247 3.905 3.578 3.256
plot(e.1.3)
Summary and All Effects for Model 2.1 (No Demographics)
##
## 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
## model: MCLcountry ~ ((Age0 + Sex + Race + PovStat)^2 + Neighborhood02)
##
## Neighborhood02 effect
## Neighborhood02
## 1 2 3 4 5
## 4.924 4.664 4.404 4.144 3.883
##
## Lower 95 Percent Confidence Limits
## Neighborhood02
## 1 2 3 4 5
## 4.725 4.532 4.316 4.041 3.723
##
## Upper 95 Percent Confidence Limits
## Neighborhood02
## 1 2 3 4 5
## 5.123 4.796 4.491 4.246 4.043
##
## Age0*Sex effect
## Sex
## Age0 0 1
## 30 4.230 4.333
## 35 4.255 4.339
## 40 4.281 4.345
## 45 4.306 4.351
## 50 4.331 4.357
## 55 4.357 4.363
## 60 4.382 4.369
##
## Lower 95 Percent Confidence Limits
## Sex
## Age0 0 1
## 30 3.991 4.053
## 35 4.067 4.118
## 40 4.136 4.176
## 45 4.190 4.217
## 50 4.218 4.225
## 55 4.217 4.201
## 60 4.201 4.157
##
## Upper 95 Percent Confidence Limits
## Sex
## Age0 0 1
## 30 4.469 4.614
## 35 4.444 4.561
## 40 4.426 4.515
## 45 4.422 4.486
## 50 4.445 4.489
## 55 4.496 4.526
## 60 4.563 4.581
##
## Age0*Race effect
## Race
## Age0 0 1
## 30 4.350 4.169
## 35 4.384 4.163
## 40 4.417 4.157
## 45 4.451 4.151
## 50 4.484 4.145
## 55 4.518 4.139
## 60 4.552 4.133
##
## Lower 95 Percent Confidence Limits
## Race
## Age0 0 1
## 30 4.107 3.891
## 35 4.192 3.943
## 40 4.271 3.987
## 45 4.335 4.014
## 50 4.372 4.009
## 55 4.380 3.973
## 60 4.371 3.917
##
## Upper 95 Percent Confidence Limits
## Race
## Age0 0 1
## 30 4.593 4.447
## 35 4.575 4.383
## 40 4.564 4.326
## 45 4.567 4.288
## 50 4.597 4.280
## 55 4.656 4.305
## 60 4.732 4.348
##
## Age0*PovStat effect
## PovStat
## Age0 0 1
## 30 4.283 4.268
## 35 4.221 4.342
## 40 4.159 4.416
## 45 4.097 4.489
## 50 4.036 4.563
## 55 3.974 4.637
## 60 3.912 4.710
##
## Lower 95 Percent Confidence Limits
## PovStat
## Age0 0 1
## 30 4.002 4.026
## 35 4.001 4.150
## 40 3.991 4.268
## 45 3.961 4.372
## 50 3.897 4.451
## 55 3.801 4.502
## 60 3.687 4.535
##
## Upper 95 Percent Confidence Limits
## PovStat
## Age0 0 1
## 30 4.563 4.511
## 35 4.441 4.534
## 40 4.328 4.564
## 45 4.234 4.607
## 50 4.174 4.675
## 55 4.146 4.771
## 60 4.137 4.886
##
## Sex*Race effect
## Race
## Sex 0 1
## 0 4.535 4.023
## 1 4.384 4.314
##
## Lower 95 Percent Confidence Limits
## Race
## Sex 0 1
## 0 4.388 3.852
## 1 4.218 4.109
##
## Upper 95 Percent Confidence Limits
## Race
## Sex 0 1
## 0 4.681 4.193
## 1 4.550 4.518
##
## Sex*PovStat effect
## PovStat
## Sex 0 1
## 0 4.097 4.481
## 1 4.015 4.599
##
## Lower 95 Percent Confidence Limits
## PovStat
## Sex 0 1
## 0 3.929 4.333
## 1 3.805 4.435
##
## Upper 95 Percent Confidence Limits
## PovStat
## Sex 0 1
## 0 4.265 4.630
## 1 4.226 4.762
##
## Race*PovStat effect
## PovStat
## Race 0 1
## 0 4.313 4.583
## 1 3.712 4.460
##
## Lower 95 Percent Confidence Limits
## PovStat
## Race 0 1
## 0 4.157 4.430
## 1 3.482 4.303
##
## Upper 95 Percent Confidence Limits
## PovStat
## Race 0 1
## 0 4.469 4.736
## 1 3.943 4.617
Summary and All Effects for Model 2.2 (With Demographics)
summary(m.2.2)
##
## Call:
## lm(formula = MCLcountry ~ ((Age0 + Sex + Race + PovStat)^2 +
## Neighborhood02 + Educ + Employment01 + acasiincomx01), data = MeasurementData)
##
## Residuals:
## MCL: SES Standing in country
## Min 1Q Median 3Q Max
## -5.06 -1.73 0.48 1.86 5.01
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.58012 0.53205 8.61 < 2e-16
## Age0 -0.00334 0.00857 -0.39 0.69711
## Sex1 -0.18537 0.45484 -0.41 0.68365
## Race1 -0.55564 0.45970 -1.21 0.22691
## PovStat1 -1.44904 0.46724 -3.10 0.00195
## Neighborhood02 -0.19058 0.04019 -4.74 2.3e-06
## Educ 0.09210 0.01532 6.01 2.1e-09
## Employment011 0.33887 0.09461 3.58 0.00035
## acasiincomx01 -0.31051 0.09072 -3.42 0.00063
## Age0:Sex1 -0.00236 0.00913 -0.26 0.79578
## Age0:Race1 -0.00551 0.00920 -0.60 0.54943
## Age0:PovStat1 0.02663 0.00930 2.87 0.00421
## Sex1:Race1 0.39552 0.17341 2.28 0.02266
## Sex1:PovStat1 0.22478 0.17416 1.29 0.19695
## Race1:PovStat1 0.43944 0.17735 2.48 0.01330
##
## Residual standard error: 1.92 on 2126 degrees of freedom
## Multiple R-squared: 0.094, Adjusted R-squared: 0.0881
## F-statistic: 15.8 on 14 and 2126 DF, p-value: <2e-16
e.2.2 = allEffects(m.2.2)
summary(e.2.2)
## model: MCLcountry ~ ((Age0 + Sex + Race + PovStat)^2 + Neighborhood02 +
## Educ + Employment01 + acasiincomx01)
##
## Neighborhood02 effect
## Neighborhood02
## 1 2 3 4 5
## 4.768 4.577 4.387 4.196 4.006
##
## Lower 95 Percent Confidence Limits
## Neighborhood02
## 1 2 3 4 5
## 4.570 4.447 4.301 4.096 3.846
##
## Upper 95 Percent Confidence Limits
## Neighborhood02
## 1 2 3 4 5
## 4.966 4.708 4.472 4.297 4.165
##
## Educ effect
## Educ
## 5 10 15 20
## 3.643 4.104 4.564 5.025
##
## Lower 95 Percent Confidence Limits
## Educ
## 5 10 15 20
## 3.404 3.992 4.452 4.784
##
## Upper 95 Percent Confidence Limits
## Educ
## 5 10 15 20
## 3.883 4.215 4.676 5.265
##
## Employment01 effect
## Employment01
## 0 1
## 4.143 4.482
##
## Lower 95 Percent Confidence Limits
## Employment01
## 0 1
## 4.008 4.367
##
## Upper 95 Percent Confidence Limits
## Employment01
## 0 1
## 4.278 4.597
##
## acasiincomx01 effect
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.497 4.342 4.187 4.032 3.876
##
## Lower 95 Percent Confidence Limits
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.374 4.259 4.067 3.837 3.599
##
## Upper 95 Percent Confidence Limits
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.621 4.425 4.307 4.226 4.154
##
## Age0*Sex effect
## Sex
## Age0 0 1
## 30 4.161 4.201
## 35 4.211 4.239
## 40 4.260 4.276
## 45 4.309 4.314
## 50 4.358 4.351
## 55 4.408 4.389
## 60 4.457 4.426
##
## Lower 95 Percent Confidence Limits
## Sex
## Age0 0 1
## 30 3.927 3.923
## 35 4.026 4.020
## 40 4.118 4.109
## 45 4.196 4.181
## 50 4.247 4.222
## 55 4.271 4.230
## 60 4.279 4.218
##
## Upper 95 Percent Confidence Limits
## Sex
## Age0 0 1
## 30 4.395 4.479
## 35 4.395 4.458
## 40 4.402 4.443
## 45 4.423 4.446
## 50 4.470 4.480
## 55 4.545 4.548
## 60 4.635 4.634
##
## Age0*Race effect
## Race
## Age0 0 1
## 30 4.302 4.006
## 35 4.358 4.034
## 40 4.413 4.063
## 45 4.469 4.091
## 50 4.525 4.119
## 55 4.581 4.147
## 60 4.636 4.176
##
## Lower 95 Percent Confidence Limits
## Race
## Age0 0 1
## 30 4.062 3.732
## 35 4.169 3.818
## 40 4.269 3.896
## 45 4.355 3.956
## 50 4.414 3.986
## 55 4.445 3.984
## 60 4.459 3.963
##
## Upper 95 Percent Confidence Limits
## Race
## Age0 0 1
## 30 4.542 4.281
## 35 4.546 4.251
## 40 4.558 4.230
## 45 4.583 4.226
## 50 4.636 4.253
## 55 4.717 4.311
## 60 4.814 4.388
##
## Age0*PovStat effect
## PovStat
## Age0 0 1
## 30 4.394 4.024
## 35 4.360 4.124
## 40 4.327 4.223
## 45 4.294 4.323
## 50 4.261 4.423
## 55 4.227 4.523
## 60 4.194 4.623
##
## Lower 95 Percent Confidence Limits
## PovStat
## Age0 0 1
## 30 4.116 3.780
## 35 4.142 3.929
## 40 4.157 4.072
## 45 4.153 4.203
## 50 4.117 4.309
## 55 4.050 4.389
## 60 3.965 4.450
##
## Upper 95 Percent Confidence Limits
## PovStat
## Age0 0 1
## 30 4.671 4.267
## 35 4.579 4.318
## 40 4.497 4.375
## 45 4.435 4.444
## 50 4.404 4.537
## 55 4.405 4.658
## 60 4.423 4.796
##
## Sex*Race effect
## Race
## Sex 0 1
## 0 4.573 4.010
## 1 4.405 4.237
##
## Lower 95 Percent Confidence Limits
## Race
## Sex 0 1
## 0 4.429 3.842
## 1 4.243 4.036
##
## Upper 95 Percent Confidence Limits
## Race
## Sex 0 1
## 0 4.717 4.177
## 1 4.568 4.439
##
## Sex*PovStat effect
## PovStat
## Sex 0 1
## 0 4.332 4.342
## 1 4.199 4.433
##
## Lower 95 Percent Confidence Limits
## PovStat
## Sex 0 1
## 0 4.159 4.193
## 1 3.989 4.269
##
## Upper 95 Percent Confidence Limits
## PovStat
## Sex 0 1
## 0 4.505 4.490
## 1 4.408 4.598
##
## Race*PovStat effect
## PovStat
## Race 0 1
## 0 4.546 4.469
## 1 3.897 4.258
##
## Lower 95 Percent Confidence Limits
## PovStat
## Race 0 1
## 0 4.384 4.317
## 1 3.668 4.099
##
## Upper 95 Percent Confidence Limits
## PovStat
## Race 0 1
## 0 4.709 4.621
## 1 4.125 4.418
plot(e.2.2)
Summary and All Effects for Model 2.3 (With Demographics and Depression)
summary(m.2.3)
##
## Call:
## lm(formula = MCLcountry ~ ((Age0 + Sex + Race + PovStat)^2 +
## Neighborhood02 + Educ + Employment01 + acasiincomx01 + CES),
## data = MeasurementData)
##
## Residuals:
## MCL: SES Standing in country
## Min 1Q Median 3Q Max
## -5.083 -1.002 -0.233 1.921 6.280
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.29582 0.52466 10.09 < 2e-16
## Age0 -0.00587 0.00838 -0.70 0.48399
## Sex1 -0.24752 0.44446 -0.56 0.57765
## Race1 -0.44078 0.44931 -0.98 0.32669
## PovStat1 -1.37016 0.45659 -3.00 0.00272
## Neighborhood02 -0.15031 0.03947 -3.81 0.00014
## Educ 0.07632 0.01505 5.07 4.3e-07
## Employment011 0.17870 0.09379 1.91 0.05689
## acasiincomx01 -0.21709 0.08912 -2.44 0.01494
## CES -0.03883 0.00385 -10.10 < 2e-16
## Age0:Sex1 -0.00169 0.00892 -0.19 0.85003
## Age0:Race1 -0.00609 0.00899 -0.68 0.49785
## Age0:PovStat1 0.02414 0.00909 2.66 0.00796
## Sex1:Race1 0.35105 0.16949 2.07 0.03846
## Sex1:PovStat1 0.24305 0.17017 1.43 0.15337
## Race1:PovStat1 0.43259 0.17328 2.50 0.01262
##
## Residual standard error: 1.87 on 2125 degrees of freedom
## Multiple R-squared: 0.136, Adjusted R-squared: 0.129
## F-statistic: 22.2 on 15 and 2125 DF, p-value: <2e-16
e.2.3 = allEffects(m.2.3)
summary(e.2.3)
## model: MCLcountry ~ ((Age0 + Sex + Race + PovStat)^2 + Neighborhood02 +
## Educ + Employment01 + acasiincomx01 + CES)
##
## Neighborhood02 effect
## Neighborhood02
## 1 2 3 4 5
## 4.677 4.527 4.377 4.226 4.076
##
## Lower 95 Percent Confidence Limits
## Neighborhood02
## 1 2 3 4 5
## 4.483 4.399 4.293 4.128 3.920
##
## Upper 95 Percent Confidence Limits
## Neighborhood02
## 1 2 3 4 5
## 4.871 4.655 4.460 4.325 4.232
##
## Educ effect
## Educ
## 5 10 15 20
## 3.763 4.144 4.526 4.907
##
## Lower 95 Percent Confidence Limits
## Educ
## 5 10 15 20
## 3.527 4.035 4.416 4.671
##
## Upper 95 Percent Confidence Limits
## Educ
## 5 10 15 20
## 3.998 4.254 4.636 5.143
##
## Employment01 effect
## Employment01
## 0 1
## 4.235 4.414
##
## Lower 95 Percent Confidence Limits
## Employment01
## 0 1
## 4.102 4.301
##
## Upper 95 Percent Confidence Limits
## Employment01
## 0 1
## 4.368 4.527
##
## acasiincomx01 effect
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.450 4.341 4.232 4.124 4.015
##
## Lower 95 Percent Confidence Limits
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.329 4.260 4.115 3.933 3.743
##
## Upper 95 Percent Confidence Limits
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.570 4.422 4.350 4.314 4.288
##
## CES effect
## CES
## 0 10 20 30 40 50
## 4.910 4.522 4.133 3.745 3.357 2.968
##
## Lower 95 Percent Confidence Limits
## CES
## 0 10 20 30 40 50
## 4.772 4.433 4.043 3.604 3.150 2.690
##
## Upper 95 Percent Confidence Limits
## CES
## 0 10 20 30 40 50
## 5.048 4.610 4.223 3.885 3.563 3.246
##
## Age0*Sex effect
## Sex
## Age0 0 1
## 30 4.254 4.244
## 35 4.282 4.263
## 40 4.310 4.283
## 45 4.338 4.303
## 50 4.366 4.323
## 55 4.394 4.342
## 60 4.423 4.362
##
## Lower 95 Percent Confidence Limits
## Sex
## Age0 0 1
## 30 4.024 3.972
## 35 4.101 4.049
## 40 4.171 4.120
## 45 4.227 4.173
## 50 4.257 4.196
## 55 4.261 4.187
## 60 4.248 4.158
##
## Upper 95 Percent Confidence Limits
## Sex
## Age0 0 1
## 30 4.483 4.515
## 35 4.463 4.477
## 40 4.449 4.447
## 45 4.449 4.432
## 50 4.475 4.449
## 55 4.528 4.498
## 60 4.597 4.566
##
## Age0*Race effect
## Race
## Age0 0 1
## 30 4.342 4.120
## 35 4.379 4.127
## 40 4.416 4.134
## 45 4.454 4.141
## 50 4.491 4.148
## 55 4.528 4.154
## 60 4.566 4.161
##
## Lower 95 Percent Confidence Limits
## Race
## Age0 0 1
## 30 4.108 3.851
## 35 4.195 3.915
## 40 4.275 3.970
## 45 4.342 4.009
## 50 4.383 4.017
## 55 4.395 3.995
## 60 4.391 3.954
##
## Upper 95 Percent Confidence Limits
## Race
## Age0 0 1
## 30 4.576 4.389
## 35 4.564 4.340
## 40 4.557 4.298
## 45 4.565 4.273
## 50 4.599 4.278
## 55 4.661 4.314
## 60 4.740 4.369
##
## Age0*PovStat effect
## PovStat
## Age0 0 1
## 30 4.459 4.098
## 35 4.414 4.173
## 40 4.368 4.248
## 45 4.322 4.323
## 50 4.277 4.398
## 55 4.231 4.473
## 60 4.185 4.548
##
## Lower 95 Percent Confidence Limits
## PovStat
## Age0 0 1
## 30 4.188 3.860
## 35 4.200 3.983
## 40 4.202 4.100
## 45 4.185 4.205
## 50 4.136 4.287
## 55 4.058 4.342
## 60 3.962 4.379
##
## Upper 95 Percent Confidence Limits
## PovStat
## Age0 0 1
## 30 4.731 4.337
## 35 4.628 4.364
## 40 4.534 4.396
## 45 4.460 4.441
## 50 4.417 4.510
## 55 4.405 4.605
## 60 4.409 4.718
##
## Sex*Race effect
## Race
## Sex 0 1
## 0 4.555 4.074
## 1 4.368 4.239
##
## Lower 95 Percent Confidence Limits
## Race
## Sex 0 1
## 0 4.414 3.911
## 1 4.209 4.042
##
## Upper 95 Percent Confidence Limits
## Race
## Sex 0 1
## 0 4.696 4.238
## 1 4.528 4.435
##
## Sex*PovStat effect
## PovStat
## Sex 0 1
## 0 4.374 4.340
## 1 4.192 4.402
##
## Lower 95 Percent Confidence Limits
## PovStat
## Sex 0 1
## 0 4.205 4.195
## 1 3.988 4.241
##
## Upper 95 Percent Confidence Limits
## PovStat
## Sex 0 1
## 0 4.543 4.485
## 1 4.397 4.562
##
## Race*PovStat effect
## PovStat
## Race 0 1
## 0 4.540 4.429
## 1 3.957 4.279
##
## Lower 95 Percent Confidence Limits
## PovStat
## Race 0 1
## 0 4.380 4.280
## 1 3.734 4.123
##
## Upper 95 Percent Confidence Limits
## PovStat
## Race 0 1
## 0 4.699 4.578
## 1 4.181 4.436
plot(e.2.3)
Summary and All Effects for Model 3.1 (No Demographics)
##
## 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
## model: MCLcountry ~ ((Age0 + Sex + Race + PovStat)^3 + Neighborhood02)
##
## Neighborhood02 effect
## Neighborhood02
## 1 2 3 4 5
## 4.924 4.665 4.406 4.148 3.889
##
## Lower 95 Percent Confidence Limits
## Neighborhood02
## 1 2 3 4 5
## 4.725 4.533 4.319 4.045 3.728
##
## Upper 95 Percent Confidence Limits
## Neighborhood02
## 1 2 3 4 5
## 5.123 4.797 4.494 4.250 4.049
##
## Age0*Sex*Race effect
## , , Race = 0
##
## Sex
## Age0 0 1
## 30 4.415 4.284
## 35 4.448 4.313
## 40 4.482 4.342
## 45 4.515 4.371
## 50 4.548 4.400
## 55 4.582 4.429
## 60 4.615 4.457
##
## , , Race = 1
##
## Sex
## Age0 0 1
## 30 3.990 4.495
## 35 3.997 4.451
## 40 4.004 4.406
## 45 4.011 4.362
## 50 4.019 4.317
## 55 4.026 4.273
## 60 4.033 4.228
##
##
## Lower 95 Percent Confidence Limits
## , , Race = 0
##
## Sex
## Age0 0 1
## 30 4.093 3.913
## 35 4.194 4.021
## 40 4.286 4.120
## 45 4.360 4.195
## 50 4.399 4.229
## 55 4.400 4.217
## 60 4.378 4.179
##
## , , Race = 1
##
## Sex
## Age0 0 1
## 30 3.629 4.050
## 35 3.713 4.099
## 40 3.786 4.135
## 45 3.835 4.143
## 50 3.842 4.103
## 55 3.807 4.012
## 60 3.749 3.891
##
##
## Upper 95 Percent Confidence Limits
## , , Race = 0
##
## Sex
## Age0 0 1
## 30 4.737 4.656
## 35 4.703 4.605
## 40 4.678 4.564
## 45 4.671 4.546
## 50 4.698 4.571
## 55 4.764 4.640
## 60 4.852 4.736
##
## , , Race = 1
##
## Sex
## Age0 0 1
## 30 4.350 4.940
## 35 4.281 4.802
## 40 4.222 4.678
## 45 4.188 4.580
## 50 4.195 4.531
## 55 4.244 4.533
## 60 4.317 4.566
##
##
## Age0*Sex*PovStat effect
## , , PovStat = 0
##
## Sex
## Age0 0 1
## 30 4.215 4.457
## 35 4.180 4.339
## 40 4.145 4.221
## 45 4.110 4.103
## 50 4.075 3.985
## 55 4.041 3.867
## 60 4.006 3.749
##
## , , PovStat = 1
##
## Sex
## Age0 0 1
## 30 4.253 4.312
## 35 4.317 4.393
## 40 4.380 4.475
## 45 4.444 4.557
## 50 4.508 4.638
## 55 4.571 4.720
## 60 4.635 4.802
##
##
## Lower 95 Percent Confidence Limits
## , , PovStat = 0
##
## Sex
## Age0 0 1
## 30 3.857 4.004
## 35 3.900 3.984
## 40 3.931 3.949
## 45 3.937 3.883
## 50 3.900 3.763
## 55 3.821 3.589
## 60 3.718 3.386
##
## , , PovStat = 1
##
## Sex
## Age0 0 1
## 30 3.929 3.945
## 35 4.060 4.103
## 40 4.182 4.253
## 45 4.286 4.382
## 50 4.357 4.472
## 55 4.390 4.519
## 60 4.400 4.539
##
##
## Upper 95 Percent Confidence Limits
## , , PovStat = 0
##
## Sex
## Age0 0 1
## 30 4.573 4.911
## 35 4.461 4.695
## 40 4.360 4.493
## 45 4.283 4.323
## 50 4.251 4.208
## 55 4.260 4.145
## 60 4.293 4.112
##
## , , PovStat = 1
##
## Sex
## Age0 0 1
## 30 4.577 4.679
## 35 4.574 4.683
## 40 4.579 4.697
## 45 4.602 4.731
## 50 4.659 4.804
## 55 4.753 4.921
## 60 4.870 5.064
##
##
## Age0*Race*PovStat effect
## , , PovStat = 0
##
## Race
## Age0 0 1
## 30 4.404 4.199
## 35 4.379 4.066
## 40 4.354 3.933
## 45 4.328 3.800
## 50 4.303 3.666
## 55 4.278 3.533
## 60 4.252 3.400
##
## , , PovStat = 1
##
## Race
## Age0 0 1
## 30 4.326 4.211
## 35 4.399 4.281
## 40 4.471 4.351
## 45 4.543 4.421
## 50 4.615 4.492
## 55 4.687 4.562
## 60 4.760 4.632
##
##
## Lower 95 Percent Confidence Limits
## , , PovStat = 0
##
## Race
## Age0 0 1
## 30 4.065 3.715
## 35 4.115 3.685
## 40 4.153 3.640
## 45 4.168 3.561
## 50 4.140 3.425
## 55 4.070 3.234
## 60 3.979 3.012
##
## , , PovStat = 1
##
## Race
## Age0 0 1
## 30 3.986 3.873
## 35 4.129 4.014
## 40 4.263 4.146
## 45 4.379 4.257
## 50 4.461 4.331
## 55 4.503 4.366
## 60 4.520 4.378
##
##
## Upper 95 Percent Confidence Limits
## , , PovStat = 0
##
## Race
## Age0 0 1
## 30 4.744 4.684
## 35 4.644 4.447
## 40 4.554 4.226
## 45 4.489 4.038
## 50 4.466 3.907
## 55 4.485 3.831
## 60 4.525 3.787
##
## , , PovStat = 1
##
## Race
## Age0 0 1
## 30 4.667 4.549
## 35 4.669 4.548
## 40 4.679 4.557
## 45 4.707 4.586
## 50 4.769 4.652
## 55 4.872 4.757
## 60 5.000 4.886
##
##
## Sex*Race*PovStat effect
## , , PovStat = 0
##
## Race
## Sex 0 1
## 0 4.468 3.564
## 1 4.108 3.935
##
## , , PovStat = 1
##
## Race
## Sex 0 1
## 0 4.582 4.340
## 1 4.588 4.625
##
##
## Lower 95 Percent Confidence Limits
## , , PovStat = 0
##
## Race
## Sex 0 1
## 0 4.265 3.279
## 1 3.864 3.551
##
## , , PovStat = 1
##
## Race
## Sex 0 1
## 0 4.375 4.129
## 1 4.361 4.393
##
##
## Upper 95 Percent Confidence Limits
## , , PovStat = 0
##
## Race
## Sex 0 1
## 0 4.672 3.849
## 1 4.351 4.318
##
## , , PovStat = 1
##
## Race
## Sex 0 1
## 0 4.788 4.551
## 1 4.815 4.856
Summary and All Effects for Model 3.2 (With Demographics)
summary(m.3.2)
##
## Call:
## lm(formula = MCLcountry ~ ((Age0 + Sex + Race + PovStat)^3 +
## Neighborhood02 + Educ + Employment01 + acasiincomx01), data = MeasurementData)
##
## Residuals:
## MCL: SES Standing in country
## Min 1Q Median 3Q Max
## -5.079 -1.360 -0.214 1.188 5.259
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.19728 0.62176 6.75 1.9e-11
## Age0 0.00564 0.01088 0.52 0.60443
## Sex1 0.14501 0.76186 0.19 0.84906
## Race1 0.08711 0.80005 0.11 0.91331
## PovStat1 -0.70469 0.70354 -1.00 0.31663
## Neighborhood02 -0.18962 0.04021 -4.72 2.6e-06
## Educ 0.09173 0.01534 5.98 2.6e-09
## Employment011 0.33670 0.09482 3.55 0.00039
## acasiincomx01 -0.31525 0.09085 -3.47 0.00053
## Age0:Sex1 -0.01092 0.01580 -0.69 0.48955
## Age0:Race1 -0.02104 0.01654 -1.27 0.20335
## Age0:PovStat1 0.00980 0.01432 0.68 0.49356
## Sex1:Race1 0.82368 0.93148 0.88 0.37665
## Sex1:PovStat1 -0.38660 0.93365 -0.41 0.67886
## Race1:PovStat1 -0.69559 0.93412 -0.74 0.45657
## Age0:Sex1:Race1 -0.00383 0.01873 -0.20 0.83779
## Age0:Sex1:PovStat1 0.01574 0.01897 0.83 0.40671
## Age0:Race1:PovStat1 0.02702 0.01902 1.42 0.15549
## Sex1:Race1:PovStat1 -0.38356 0.35965 -1.07 0.28633
##
## Residual standard error: 1.92 on 2122 degrees of freedom
## Multiple R-squared: 0.0956, Adjusted R-squared: 0.088
## F-statistic: 12.5 on 18 and 2122 DF, p-value: <2e-16
e.3.2 = allEffects(m.3.2)
summary(e.3.2)
## model: MCLcountry ~ ((Age0 + Sex + Race + PovStat)^3 + Neighborhood02 +
## Educ + Employment01 + acasiincomx01)
##
## Neighborhood02 effect
## Neighborhood02
## 1 2 3 4 5
## 4.768 4.579 4.389 4.200 4.010
##
## Lower 95 Percent Confidence Limits
## Neighborhood02
## 1 2 3 4 5
## 4.571 4.448 4.303 4.099 3.851
##
## Upper 95 Percent Confidence Limits
## Neighborhood02
## 1 2 3 4 5
## 4.966 4.709 4.475 4.300 4.169
##
## Educ effect
## Educ
## 5 10 15 20
## 3.649 4.107 4.566 5.025
##
## Lower 95 Percent Confidence Limits
## Educ
## 5 10 15 20
## 3.409 3.996 4.454 4.784
##
## Upper 95 Percent Confidence Limits
## Educ
## 5 10 15 20
## 3.889 4.219 4.678 5.265
##
## Employment01 effect
## Employment01
## 0 1
## 4.147 4.484
##
## Lower 95 Percent Confidence Limits
## Employment01
## 0 1
## 4.012 4.369
##
## Upper 95 Percent Confidence Limits
## Employment01
## 0 1
## 4.282 4.598
##
## acasiincomx01 effect
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.502 4.345 4.187 4.030 3.872
##
## Lower 95 Percent Confidence Limits
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.379 4.262 4.067 3.835 3.594
##
## Upper 95 Percent Confidence Limits
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.626 4.428 4.307 4.224 4.150
##
## Age0*Sex*Race effect
## , , Race = 0
##
## Sex
## Age0 0 1
## 30 4.371 4.239
## 35 4.428 4.287
## 40 4.485 4.334
## 45 4.542 4.382
## 50 4.598 4.430
## 55 4.655 4.478
## 60 4.712 4.526
##
## , , Race = 1
##
## Sex
## Age0 0 1
## 30 3.894 4.247
## 35 3.924 4.249
## 40 3.954 4.251
## 45 3.984 4.253
## 50 4.015 4.255
## 55 4.045 4.258
## 60 4.075 4.260
##
##
## Lower 95 Percent Confidence Limits
## , , Race = 0
##
## Sex
## Age0 0 1
## 30 4.055 3.873
## 35 4.178 4.000
## 40 4.293 4.116
## 45 4.389 4.210
## 50 4.451 4.263
## 55 4.476 4.271
## 60 4.479 4.253
##
## , , Race = 1
##
## Sex
## Age0 0 1
## 30 3.541 3.808
## 35 3.646 3.902
## 40 3.740 3.983
## 45 3.811 4.038
## 50 3.841 4.045
## 55 3.830 4.002
## 60 3.796 3.928
##
##
## Upper 95 Percent Confidence Limits
## , , Race = 0
##
## Sex
## Age0 0 1
## 30 4.688 4.604
## 35 4.678 4.573
## 40 4.677 4.553
## 45 4.694 4.554
## 50 4.745 4.598
## 55 4.834 4.685
## 60 4.945 4.799
##
## , , Race = 1
##
## Sex
## Age0 0 1
## 30 4.248 4.686
## 35 4.202 4.596
## 40 4.168 4.519
## 45 4.158 4.468
## 50 4.188 4.466
## 55 4.259 4.513
## 60 4.354 4.592
##
##
## Age0*Sex*PovStat effect
## , , PovStat = 0
##
## Sex
## Age0 0 1
## 30 4.383 4.497
## 35 4.367 4.418
## 40 4.351 4.340
## 45 4.335 4.261
## 50 4.320 4.183
## 55 4.304 4.104
## 60 4.288 4.026
##
## , , PovStat = 1
##
## Sex
## Age0 0 1
## 30 4.020 4.059
## 35 4.110 4.165
## 40 4.200 4.271
## 45 4.289 4.377
## 50 4.379 4.482
## 55 4.469 4.588
## 60 4.558 4.694
##
##
## Lower 95 Percent Confidence Limits
## , , PovStat = 0
##
## Sex
## Age0 0 1
## 30 4.030 4.050
## 35 4.089 4.067
## 40 4.136 4.071
## 45 4.158 4.043
## 50 4.139 3.962
## 55 4.081 3.828
## 60 3.999 3.666
##
## , , PovStat = 1
##
## Sex
## Age0 0 1
## 30 3.699 3.695
## 35 3.854 3.876
## 40 4.002 4.048
## 45 4.131 4.201
## 50 4.229 4.316
## 55 4.290 4.390
## 60 4.328 4.436
##
##
## Upper 95 Percent Confidence Limits
## , , PovStat = 0
##
## Sex
## Age0 0 1
## 30 4.736 4.944
## 35 4.645 4.769
## 40 4.566 4.609
## 45 4.513 4.479
## 50 4.500 4.404
## 55 4.527 4.381
## 60 4.577 4.386
##
## , , PovStat = 1
##
## Sex
## Age0 0 1
## 30 4.342 4.424
## 35 4.366 4.454
## 40 4.398 4.494
## 45 4.448 4.553
## 50 4.530 4.648
## 55 4.648 4.787
## 60 4.789 4.952
##
##
## Age0*Race*PovStat effect
## , , PovStat = 0
##
## Race
## Age0 0 1
## 30 4.532 4.291
## 35 4.537 4.183
## 40 4.542 4.074
## 45 4.547 3.966
## 50 4.551 3.857
## 55 4.556 3.748
## 60 4.561 3.640
##
## , , PovStat = 1
##
## Race
## Age0 0 1
## 30 4.158 3.868
## 35 4.246 3.978
## 40 4.333 4.087
## 45 4.421 4.196
## 50 4.508 4.305
## 55 4.596 4.414
## 60 4.683 4.523
##
##
## Lower 95 Percent Confidence Limits
## , , PovStat = 0
##
## Race
## Age0 0 1
## 30 4.196 3.817
## 35 4.273 3.809
## 40 4.339 3.786
## 45 4.380 3.730
## 50 4.381 3.618
## 55 4.343 3.453
## 60 4.284 3.257
##
## , , PovStat = 1
##
## Race
## Age0 0 1
## 30 3.821 3.530
## 35 3.978 3.709
## 40 4.127 3.878
## 45 4.258 4.028
## 50 4.356 4.143
## 55 4.415 4.220
## 60 4.448 4.273
##
##
## Upper 95 Percent Confidence Limits
## , , PovStat = 0
##
## Race
## Age0 0 1
## 30 4.868 4.766
## 35 4.801 4.556
## 40 4.745 4.362
## 45 4.713 4.201
## 50 4.722 4.096
## 55 4.769 4.044
## 60 4.838 4.023
##
## , , PovStat = 1
##
## Race
## Age0 0 1
## 30 4.495 4.206
## 35 4.514 4.246
## 40 4.540 4.295
## 45 4.584 4.364
## 50 4.661 4.468
## 55 4.777 4.609
## 60 4.919 4.774
##
##
## Sex*Race*PovStat effect
## , , PovStat = 0
##
## Race
## Sex 0 1
## 0 4.711 3.791
## 1 4.333 4.053
##
## , , PovStat = 1
##
## Race
## Sex 0 1
## 0 4.476 4.153
## 1 4.465 4.399
##
##
## Lower 95 Percent Confidence Limits
## , , PovStat = 0
##
## Race
## Sex 0 1
## 0 4.502 3.508
## 1 4.090 3.677
##
## , , PovStat = 1
##
## Race
## Sex 0 1
## 0 4.272 3.943
## 1 4.241 4.167
##
##
## Upper 95 Percent Confidence Limits
## , , PovStat = 0
##
## Race
## Sex 0 1
## 0 4.920 4.074
## 1 4.576 4.429
##
## , , PovStat = 1
##
## Race
## Sex 0 1
## 0 4.679 4.364
## 1 4.689 4.632
plot(e.3.2)
Summary and All Effects for Model 3.3 (With Demographics and Depression)
summary(m.3.3)
##
## Call:
## lm(formula = MCLcountry ~ ((Age0 + Sex + Race + PovStat)^3 +
## Neighborhood02 + Educ + Employment01 + acasiincomx01 + CES),
## data = MeasurementData)
##
## Residuals:
## MCL: SES Standing in country
## Min 1Q Median 3Q Max
## -5.155 -1.038 0.503 1.826 6.054
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.87543 0.61109 7.98 2.4e-15
## Age0 0.00396 0.01063 0.37 0.70955
## Sex1 0.18209 0.74427 0.24 0.80675
## Race1 0.16321 0.78161 0.21 0.83461
## PovStat1 -0.50070 0.68758 -0.73 0.46657
## Neighborhood02 -0.14880 0.03949 -3.77 0.00017
## Educ 0.07575 0.01507 5.03 5.4e-07
## Employment011 0.17454 0.09401 1.86 0.06349
## acasiincomx01 -0.22269 0.08922 -2.50 0.01264
## CES -0.03896 0.00385 -10.12 < 2e-16
## Age0:Sex1 -0.01224 0.01544 -0.79 0.42783
## Age0:Race1 -0.02068 0.01616 -1.28 0.20074
## Age0:PovStat1 0.00480 0.01399 0.34 0.73166
## Sex1:Race1 0.92452 0.91003 1.02 0.30978
## Sex1:PovStat1 -0.65253 0.91246 -0.72 0.47461
## Race1:PovStat1 -0.74275 0.91256 -0.81 0.41578
## Age0:Sex1:Race1 -0.00724 0.01830 -0.40 0.69233
## Age0:Sex1:PovStat1 0.02144 0.01854 1.16 0.24753
## Age0:Race1:PovStat1 0.02760 0.01858 1.49 0.13750
## Sex1:Race1:PovStat1 -0.35331 0.35135 -1.01 0.31473
##
## Residual standard error: 1.87 on 2121 degrees of freedom
## Multiple R-squared: 0.137, Adjusted R-squared: 0.13
## F-statistic: 17.8 on 19 and 2121 DF, p-value: <2e-16
e.3.3 = allEffects(m.3.3)
summary(e.3.3)
## model: MCLcountry ~ ((Age0 + Sex + Race + PovStat)^3 + Neighborhood02 +
## Educ + Employment01 + acasiincomx01 + CES)
##
## Neighborhood02 effect
## Neighborhood02
## 1 2 3 4 5
## 4.676 4.528 4.379 4.230 4.081
##
## Lower 95 Percent Confidence Limits
## Neighborhood02
## 1 2 3 4 5
## 4.482 4.400 4.295 4.132 3.925
##
## Upper 95 Percent Confidence Limits
## Neighborhood02
## 1 2 3 4 5
## 4.871 4.655 4.463 4.329 4.237
##
## Educ effect
## Educ
## 5 10 15 20
## 3.769 4.148 4.527 4.906
##
## Lower 95 Percent Confidence Limits
## Educ
## 5 10 15 20
## 3.534 4.039 4.417 4.670
##
## Upper 95 Percent Confidence Limits
## Educ
## 5 10 15 20
## 4.005 4.258 4.637 5.142
##
## Employment01 effect
## Employment01
## 0 1
## 4.240 4.414
##
## Lower 95 Percent Confidence Limits
## Employment01
## 0 1
## 4.107 4.301
##
## Upper 95 Percent Confidence Limits
## Employment01
## 0 1
## 4.373 4.528
##
## acasiincomx01 effect
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.455 4.344 4.232 4.121 4.010
##
## Lower 95 Percent Confidence Limits
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.334 4.263 4.115 3.930 3.737
##
## Upper 95 Percent Confidence Limits
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.576 4.425 4.350 4.312 4.282
##
## CES effect
## CES
## 0 10 20 30 40 50
## 4.914 4.525 4.135 3.746 3.356 2.967
##
## Lower 95 Percent Confidence Limits
## CES
## 0 10 20 30 40 50
## 4.777 4.436 4.045 3.605 3.149 2.689
##
## Upper 95 Percent Confidence Limits
## CES
## 0 10 20 30 40 50
## 5.052 4.613 4.225 3.886 3.563 3.244
##
## Age0*Sex*Race effect
## , , Race = 0
##
## Sex
## Age0 0 1
## 30 4.437 4.246
## 35 4.471 4.281
## 40 4.504 4.316
## 45 4.538 4.351
## 50 4.572 4.386
## 55 4.606 4.421
## 60 4.639 4.456
##
## , , Race = 1
##
## Sex
## Age0 0 1
## 30 4.029 4.341
## 35 4.040 4.316
## 40 4.051 4.292
## 45 4.062 4.268
## 50 4.072 4.243
## 55 4.083 4.219
## 60 4.094 4.195
##
##
## Lower 95 Percent Confidence Limits
## , , Race = 0
##
## Sex
## Age0 0 1
## 30 4.128 3.889
## 35 4.227 4.001
## 40 4.317 4.103
## 45 4.389 4.183
## 50 4.428 4.222
## 55 4.431 4.218
## 60 4.411 4.189
##
## , , Race = 1
##
## Sex
## Age0 0 1
## 30 3.683 3.911
## 35 3.767 3.977
## 40 3.841 4.030
## 45 3.892 4.057
## 50 3.903 4.038
## 55 3.873 3.969
## 60 3.821 3.870
##
##
## Upper 95 Percent Confidence Limits
## , , Race = 0
##
## Sex
## Age0 0 1
## 30 4.746 4.603
## 35 4.715 4.562
## 40 4.692 4.530
## 45 4.687 4.519
## 50 4.716 4.550
## 55 4.781 4.624
## 60 4.868 4.723
##
## , , Race = 1
##
## Sex
## Age0 0 1
## 30 4.376 4.770
## 35 4.313 4.656
## 40 4.261 4.554
## 45 4.231 4.478
## 50 4.242 4.449
## 55 4.292 4.469
## 60 4.366 4.519
##
##
## Age0*Sex*PovStat effect
## , , PovStat = 0
##
## Sex
## Age0 0 1
## 30 4.453 4.564
## 35 4.430 4.464
## 40 4.407 4.364
## 45 4.383 4.265
## 50 4.360 4.165
## 55 4.336 4.065
## 60 4.313 3.965
##
## , , PovStat = 1
##
## Sex
## Age0 0 1
## 30 4.132 4.086
## 35 4.191 4.175
## 40 4.249 4.264
## 45 4.307 4.353
## 50 4.365 4.442
## 55 4.424 4.532
## 60 4.482 4.621
##
##
## Lower 95 Percent Confidence Limits
## , , PovStat = 0
##
## Sex
## Age0 0 1
## 30 4.109 4.127
## 35 4.158 4.121
## 40 4.196 4.102
## 45 4.210 4.051
## 50 4.183 3.949
## 55 4.118 3.795
## 60 4.031 3.613
##
## , , PovStat = 1
##
## Sex
## Age0 0 1
## 30 3.818 3.730
## 35 3.940 3.893
## 40 4.055 4.047
## 45 4.152 4.181
## 50 4.218 4.280
## 55 4.249 4.337
## 60 4.256 4.368
##
##
## Upper 95 Percent Confidence Limits
## , , PovStat = 0
##
## Sex
## Age0 0 1
## 30 4.798 5.001
## 35 4.702 4.807
## 40 4.617 4.627
## 45 4.556 4.478
## 50 4.536 4.381
## 55 4.555 4.335
## 60 4.595 4.318
##
## , , PovStat = 1
##
## Sex
## Age0 0 1
## 30 4.447 4.442
## 35 4.441 4.458
## 40 4.443 4.482
## 45 4.462 4.525
## 50 4.513 4.605
## 55 4.599 4.726
## 60 4.708 4.873
##
##
## Age0*Race*PovStat effect
## , , PovStat = 0
##
## Race
## Age0 0 1
## 30 4.565 4.411
## 35 4.559 4.286
## 40 4.552 4.160
## 45 4.546 4.035
## 50 4.540 3.910
## 55 4.533 3.784
## 60 4.527 3.659
##
## , , PovStat = 1
##
## Race
## Age0 0 1
## 30 4.205 3.984
## 35 4.268 4.067
## 40 4.332 4.150
## 45 4.395 4.232
## 50 4.459 4.315
## 55 4.522 4.397
## 60 4.586 4.480
##
##
## Lower 95 Percent Confidence Limits
## , , PovStat = 0
##
## Race
## Age0 0 1
## 30 4.237 3.947
## 35 4.301 3.920
## 40 4.354 3.878
## 45 4.384 3.804
## 50 4.373 3.676
## 55 4.325 3.496
## 60 4.256 3.285
##
## , , PovStat = 1
##
## Race
## Age0 0 1
## 30 3.875 3.653
## 35 4.006 3.804
## 40 4.130 3.945
## 45 4.236 4.068
## 50 4.309 4.156
## 55 4.344 4.207
## 60 4.355 4.235
##
##
## Upper 95 Percent Confidence Limits
## , , PovStat = 0
##
## Race
## Age0 0 1
## 30 4.894 4.875
## 35 4.816 4.651
## 40 4.750 4.443
## 45 4.708 4.266
## 50 4.706 4.143
## 55 4.741 4.073
## 60 4.797 4.033
##
## , , PovStat = 1
##
## Race
## Age0 0 1
## 30 4.534 4.315
## 35 4.530 4.330
## 40 4.533 4.354
## 45 4.554 4.397
## 50 4.608 4.474
## 55 4.700 4.588
## 60 4.816 4.725
##
##
## Sex*Race*PovStat effect
## , , PovStat = 0
##
## Race
## Sex 0 1
## 0 4.715 3.889
## 1 4.311 4.062
##
## , , PovStat = 1
##
## Race
## Sex 0 1
## 0 4.444 4.196
## 1 4.414 4.391
##
##
## Lower 95 Percent Confidence Limits
## , , PovStat = 0
##
## Race
## Sex 0 1
## 0 4.511 3.612
## 1 4.074 3.695
##
## , , PovStat = 1
##
## Race
## Sex 0 1
## 0 4.245 3.990
## 1 4.196 4.164
##
##
## Upper 95 Percent Confidence Limits
## , , PovStat = 0
##
## Race
## Sex 0 1
## 0 4.919 4.166
## 1 4.549 4.429
##
## , , PovStat = 1
##
## Race
## Sex 0 1
## 0 4.643 4.402
## 1 4.633 4.618
plot(e.3.3)
Summary and All Effects for Model 4.1 (No Demographics)
##
## 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
## model: MCLcountry ~ ((Age0 + Sex + Race + PovStat)^4 + Neighborhood02)
##
## Neighborhood02 effect
## Neighborhood02
## 1 2 3 4 5
## 4.925 4.666 4.407 4.147 3.888
##
## Lower 95 Percent Confidence Limits
## Neighborhood02
## 1 2 3 4 5
## 4.726 4.534 4.319 4.045 3.727
##
## Upper 95 Percent Confidence Limits
## Neighborhood02
## 1 2 3 4 5
## 5.125 4.798 4.494 4.249 4.048
##
## Age0*Sex*Race*PovStat effect
## , , Race = 0, PovStat = 0
##
## Sex
## Age0 0 1
## 30 4.494 4.283
## 35 4.486 4.234
## 40 4.479 4.186
## 45 4.471 4.138
## 50 4.464 4.089
## 55 4.457 4.041
## 60 4.449 3.993
##
## , , Race = 1, PovStat = 0
##
## Sex
## Age0 0 1
## 30 3.816 4.741
## 35 3.746 4.515
## 40 3.676 4.289
## 45 3.607 4.063
## 50 3.537 3.837
## 55 3.468 3.610
## 60 3.398 3.384
##
## , , Race = 0, PovStat = 1
##
## Sex
## Age0 0 1
## 30 4.351 4.294
## 35 4.415 4.377
## 40 4.479 4.460
## 45 4.543 4.542
## 50 4.608 4.625
## 55 4.672 4.708
## 60 4.736 4.791
##
## , , Race = 1, PovStat = 1
##
## Sex
## Age0 0 1
## 30 4.106 4.353
## 35 4.172 4.429
## 40 4.237 4.504
## 45 4.302 4.580
## 50 4.367 4.656
## 55 4.432 4.731
## 60 4.498 4.807
##
##
## Lower 95 Percent Confidence Limits
## , , Race = 0, PovStat = 0
##
## Sex
## Age0 0 1
## 30 4.051 3.755
## 35 4.140 3.824
## 40 4.216 3.875
## 45 4.261 3.888
## 50 4.252 3.834
## 55 4.188 3.715
## 60 4.096 3.563
##
## , , Race = 1, PovStat = 0
##
## Sex
## Age0 0 1
## 30 3.222 3.929
## 35 3.280 3.876
## 40 3.319 3.798
## 45 3.315 3.666
## 50 3.240 3.440
## 55 3.097 3.120
## 60 2.915 2.746
##
## , , Race = 0, PovStat = 1
##
## Sex
## Age0 0 1
## 30 3.896 3.779
## 35 4.054 3.970
## 40 4.200 4.149
## 45 4.322 4.299
## 50 4.400 4.396
## 55 4.426 4.430
## 60 4.418 4.425
##
## , , Race = 1, PovStat = 1
##
## Sex
## Age0 0 1
## 30 3.656 3.842
## 35 3.816 4.025
## 40 3.963 4.194
## 45 4.082 4.334
## 50 4.150 4.421
## 55 4.166 4.447
## 60 4.151 4.437
##
##
## Upper 95 Percent Confidence Limits
## , , Race = 0, PovStat = 0
##
## Sex
## Age0 0 1
## 30 4.936 4.810
## 35 4.832 4.645
## 40 4.741 4.496
## 45 4.681 4.387
## 50 4.676 4.345
## 55 4.725 4.366
## 60 4.802 4.422
##
## , , Race = 1, PovStat = 0
##
## Sex
## Age0 0 1
## 30 4.410 5.553
## 35 4.212 5.154
## 40 4.034 4.780
## 45 3.899 4.459
## 50 3.834 4.233
## 55 3.838 4.101
## 60 3.881 4.023
##
## , , Race = 0, PovStat = 1
##
## Sex
## Age0 0 1
## 30 4.805 4.809
## 35 4.776 4.784
## 40 4.758 4.771
## 45 4.764 4.785
## 50 4.815 4.855
## 55 4.918 4.986
## 60 5.054 5.156
##
## , , Race = 1, PovStat = 1
##
## Sex
## Age0 0 1
## 30 4.557 4.863
## 35 4.527 4.833
## 40 4.510 4.815
## 45 4.522 4.826
## 50 4.584 4.891
## 55 4.699 5.016
## 60 4.844 5.177
Summary and All Effects for Model 4.2 (With Demographics)
summary(m.4.2)
##
## Call:
## lm(formula = MCLcountry ~ ((Age0 + Sex + Race + PovStat)^4 +
## Neighborhood02 + Educ + Employment01 + acasiincomx01), data = MeasurementData)
##
## Residuals:
## MCL: SES Standing in country
## Min 1Q Median 3Q Max
## -5.080 -1.157 -0.114 1.563 5.253
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.28555 0.64368 6.66 3.5e-11
## Age0 0.00386 0.01138 0.34 0.73428
## Sex1 -0.05799 0.85243 -0.07 0.94577
## Race1 -0.14470 0.91142 -0.16 0.87387
## PovStat1 -0.86577 0.76620 -1.13 0.25863
## Neighborhood02 -0.19008 0.04023 -4.72 2.5e-06
## Educ 0.09172 0.01534 5.98 2.6e-09
## Employment011 0.33515 0.09488 3.53 0.00042
## acasiincomx01 -0.31646 0.09090 -3.48 0.00051
## Age0:Sex1 -0.00662 0.01776 -0.37 0.70944
## Age0:Race1 -0.01613 0.01895 -0.85 0.39452
## Age0:PovStat1 0.01316 0.01565 0.84 0.40056
## Sex1:Race1 1.44619 1.49700 0.97 0.33412
## Sex1:PovStat1 -0.00335 1.18001 0.00 0.99774
## Race1:PovStat1 -0.30497 1.18892 -0.26 0.79759
## Age0:Sex1:Race1 -0.01699 0.03105 -0.55 0.58431
## Age0:Sex1:PovStat1 0.00773 0.02423 0.32 0.74974
## Age0:Race1:PovStat1 0.01881 0.02450 0.77 0.44264
## Sex1:Race1:PovStat1 -1.36889 1.88929 -0.72 0.46881
## Age0:Sex1:Race1:PovStat1 0.02066 0.03889 0.53 0.59530
##
## Residual standard error: 1.92 on 2121 degrees of freedom
## Multiple R-squared: 0.0958, Adjusted R-squared: 0.0877
## F-statistic: 11.8 on 19 and 2121 DF, p-value: <2e-16
e.4.2 = allEffects(m.4.2)
summary(e.4.2)
## model: MCLcountry ~ ((Age0 + Sex + Race + PovStat)^4 + Neighborhood02 +
## Educ + Employment01 + acasiincomx01)
##
## Neighborhood02 effect
## Neighborhood02
## 1 2 3 4 5
## 4.769 4.579 4.389 4.199 4.009
##
## Lower 95 Percent Confidence Limits
## Neighborhood02
## 1 2 3 4 5
## 4.572 4.449 4.303 4.098 3.850
##
## Upper 95 Percent Confidence Limits
## Neighborhood02
## 1 2 3 4 5
## 4.967 4.710 4.475 4.300 4.168
##
## Educ effect
## Educ
## 5 10 15 20
## 3.649 4.107 4.566 5.025
##
## Lower 95 Percent Confidence Limits
## Educ
## 5 10 15 20
## 3.409 3.996 4.454 4.784
##
## Upper 95 Percent Confidence Limits
## Educ
## 5 10 15 20
## 3.889 4.219 4.678 5.265
##
## Employment01 effect
## Employment01
## 0 1
## 4.148 4.483
##
## Lower 95 Percent Confidence Limits
## Employment01
## 0 1
## 4.013 4.368
##
## Upper 95 Percent Confidence Limits
## Employment01
## 0 1
## 4.283 4.598
##
## acasiincomx01 effect
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.503 4.345 4.187 4.028 3.870
##
## Lower 95 Percent Confidence Limits
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.380 4.262 4.067 3.834 3.592
##
## Upper 95 Percent Confidence Limits
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.627 4.428 4.307 4.223 4.148
##
## Age0*Sex*Race*PovStat effect
## , , Race = 0, PovStat = 0
##
## Sex
## Age0 0 1
## 30 4.641 4.385
## 35 4.661 4.371
## 40 4.680 4.357
## 45 4.699 4.343
## 50 4.718 4.330
## 55 4.738 4.316
## 60 4.757 4.302
##
## , , Race = 1, PovStat = 0
##
## Sex
## Age0 0 1
## 30 4.012 4.692
## 35 3.951 4.513
## 40 3.890 4.334
## 45 3.828 4.154
## 50 3.767 3.975
## 55 3.706 3.796
## 60 3.644 3.616
##
## , , Race = 0, PovStat = 1
##
## Sex
## Age0 0 1
## 30 4.170 4.142
## 35 4.255 4.233
## 40 4.340 4.324
## 45 4.425 4.414
## 50 4.511 4.505
## 55 4.596 4.596
## 60 4.681 4.686
##
## , , Race = 1, PovStat = 1
##
## Sex
## Age0 0 1
## 30 3.801 3.960
## 35 3.899 4.083
## 40 3.998 4.205
## 45 4.096 4.328
## 50 4.195 4.450
## 55 4.293 4.572
## 60 4.392 4.695
##
##
## Lower 95 Percent Confidence Limits
## , , Race = 0, PovStat = 0
##
## Sex
## Age0 0 1
## 30 4.205 3.866
## 35 4.318 3.967
## 40 4.417 4.050
## 45 4.485 4.095
## 50 4.501 4.074
## 55 4.466 3.992
## 60 4.403 3.877
##
## , , Race = 1, PovStat = 0
##
## Sex
## Age0 0 1
## 30 3.430 3.895
## 35 3.493 3.886
## 40 3.536 3.852
## 45 3.539 3.766
## 50 3.472 3.586
## 55 3.339 3.314
## 60 3.169 2.989
##
## , , Race = 0, PovStat = 1
##
## Sex
## Age0 0 1
## 30 3.723 3.635
## 35 3.899 3.832
## 40 4.065 4.017
## 45 4.207 4.174
## 50 4.306 4.279
## 55 4.354 4.322
## 60 4.369 4.328
##
## , , Race = 1, PovStat = 1
##
## Sex
## Age0 0 1
## 30 3.356 3.454
## 35 3.547 3.681
## 40 3.726 3.895
## 45 3.877 4.080
## 50 3.979 4.215
## 55 4.030 4.291
## 60 4.051 4.331
##
##
## Upper 95 Percent Confidence Limits
## , , Race = 0, PovStat = 0
##
## Sex
## Age0 0 1
## 30 5.078 4.903
## 35 5.003 4.775
## 40 4.943 4.664
## 45 4.913 4.592
## 50 4.936 4.585
## 55 5.009 4.640
## 60 5.111 4.727
##
## , , Race = 1, PovStat = 0
##
## Sex
## Age0 0 1
## 30 4.595 5.490
## 35 4.409 5.140
## 40 4.243 4.815
## 45 4.118 4.543
## 50 4.062 4.364
## 55 4.072 4.277
## 60 4.119 4.244
##
## , , Race = 0, PovStat = 1
##
## Sex
## Age0 0 1
## 30 4.617 4.649
## 35 4.611 4.634
## 40 4.616 4.630
## 45 4.644 4.654
## 50 4.715 4.731
## 55 4.837 4.869
## 60 4.992 5.044
##
## , , Race = 1, PovStat = 1
##
## Sex
## Age0 0 1
## 30 4.246 4.467
## 35 4.252 4.485
## 40 4.270 4.516
## 45 4.316 4.575
## 50 4.411 4.685
## 55 4.557 4.854
## 60 4.732 5.059
plot(e.4.2)
Summary and All Effects for Model 4.3 (With Demographics and Depression)
summary(m.4.3)
##
## Call:
## lm(formula = MCLcountry ~ ((Age0 + Sex + Race + PovStat)^4 +
## Neighborhood02 + Educ + Employment01 + acasiincomx01 + CES),
## data = MeasurementData)
##
## Residuals:
## MCL: SES Standing in country
## Min 1Q Median 3Q Max
## -5.144 -1.139 0.907 1.249 6.038
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.91925 0.63196 7.78 1.1e-14
## Age0 0.00307 0.01112 0.28 0.78245
## Sex1 0.08016 0.83290 0.10 0.92334
## Race1 0.04680 0.89062 0.05 0.95810
## PovStat1 -0.58171 0.74907 -0.78 0.43750
## Neighborhood02 -0.14906 0.03951 -3.77 0.00017
## Educ 0.07576 0.01507 5.03 5.4e-07
## Employment011 0.17388 0.09406 1.85 0.06465
## acasiincomx01 -0.22336 0.08928 -2.50 0.01243
## CES -0.03893 0.00385 -10.11 < 2e-16
## Age0:Sex1 -0.01008 0.01735 -0.58 0.56132
## Age0:Race1 -0.01821 0.01851 -0.98 0.32526
## Age0:PovStat1 0.00649 0.01530 0.42 0.67168
## Sex1:Race1 1.23694 1.46265 0.85 0.39783
## Sex1:PovStat1 -0.45995 1.15370 -0.40 0.69017
## Race1:PovStat1 -0.54663 1.16177 -0.47 0.63803
## Age0:Sex1:Race1 -0.01384 0.03033 -0.46 0.64819
## Age0:Sex1:PovStat1 0.01742 0.02369 0.74 0.46235
## Age0:Race1:PovStat1 0.02348 0.02394 0.98 0.32681
## Sex1:Race1:PovStat1 -0.84796 1.84647 -0.46 0.64611
## Age0:Sex1:Race1:PovStat1 0.01037 0.03801 0.27 0.78498
##
## Residual standard error: 1.87 on 2120 degrees of freedom
## Multiple R-squared: 0.137, Adjusted R-squared: 0.129
## F-statistic: 16.9 on 20 and 2120 DF, p-value: <2e-16
e.4.3 = allEffects(m.4.3)
summary(e.4.3)
## model: MCLcountry ~ ((Age0 + Sex + Race + PovStat)^4 + Neighborhood02 +
## Educ + Employment01 + acasiincomx01 + CES)
##
## Neighborhood02 effect
## Neighborhood02
## 1 2 3 4 5
## 4.677 4.528 4.379 4.230 4.081
##
## Lower 95 Percent Confidence Limits
## Neighborhood02
## 1 2 3 4 5
## 4.483 4.400 4.295 4.131 3.925
##
## Upper 95 Percent Confidence Limits
## Neighborhood02
## 1 2 3 4 5
## 4.871 4.656 4.463 4.328 4.237
##
## Educ effect
## Educ
## 5 10 15 20
## 3.769 4.148 4.527 4.906
##
## Lower 95 Percent Confidence Limits
## Educ
## 5 10 15 20
## 3.534 4.039 4.417 4.670
##
## Upper 95 Percent Confidence Limits
## Educ
## 5 10 15 20
## 4.005 4.258 4.637 5.142
##
## Employment01 effect
## Employment01
## 0 1
## 4.240 4.414
##
## Lower 95 Percent Confidence Limits
## Employment01
## 0 1
## 4.107 4.301
##
## Upper 95 Percent Confidence Limits
## Employment01
## 0 1
## 4.373 4.527
##
## acasiincomx01 effect
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.455 4.344 4.232 4.120 4.009
##
## Lower 95 Percent Confidence Limits
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.334 4.263 4.114 3.929 3.736
##
## Upper 95 Percent Confidence Limits
## acasiincomx01
## 1 1.5 2 2.5 3
## 4.576 4.425 4.350 4.311 4.281
##
## CES effect
## CES
## 0 10 20 30 40 50
## 4.914 4.525 4.135 3.746 3.357 2.967
##
## Lower 95 Percent Confidence Limits
## CES
## 0 10 20 30 40 50
## 4.776 4.436 4.045 3.605 3.150 2.689
##
## Upper 95 Percent Confidence Limits
## CES
## 0 10 20 30 40 50
## 5.052 4.613 4.226 3.887 3.564 3.246
##
## Age0*Sex*Race*PovStat effect
## , , Race = 0, PovStat = 0
##
## Sex
## Age0 0 1
## 30 4.660 4.438
## 35 4.675 4.403
## 40 4.691 4.368
## 45 4.706 4.333
## 50 4.721 4.297
## 55 4.737 4.262
## 60 4.752 4.227
##
## , , Race = 1, PovStat = 0
##
## Sex
## Age0 0 1
## 30 4.160 4.760
## 35 4.085 4.564
## 40 4.009 4.369
## 45 3.933 4.174
## 50 3.858 3.978
## 55 3.782 3.783
## 60 3.706 3.588
##
## , , Race = 0, PovStat = 1
##
## Sex
## Age0 0 1
## 30 4.273 4.113
## 35 4.321 4.198
## 40 4.368 4.282
## 45 4.416 4.367
## 50 4.464 4.451
## 55 4.512 4.536
## 60 4.560 4.620
##
## , , Race = 1, PovStat = 1
##
## Sex
## Age0 0 1
## 30 3.931 4.056
## 35 4.005 4.150
## 40 4.079 4.243
## 45 4.153 4.337
## 50 4.228 4.430
## 55 4.302 4.523
## 60 4.376 4.617
##
##
## Lower 95 Percent Confidence Limits
## , , Race = 0, PovStat = 0
##
## Sex
## Age0 0 1
## 30 4.233 3.931
## 35 4.341 4.008
## 40 4.434 4.068
## 45 4.497 4.090
## 50 4.509 4.048
## 55 4.471 3.946
## 60 4.406 3.811
##
## , , Race = 1, PovStat = 0
##
## Sex
## Age0 0 1
## 30 3.590 3.981
## 35 3.636 3.952
## 40 3.663 3.899
## 45 3.650 3.794
## 50 3.569 3.599
## 55 3.424 3.312
## 60 3.242 2.975
##
## , , Race = 0, PovStat = 1
##
## Sex
## Age0 0 1
## 30 3.836 3.618
## 35 3.973 3.806
## 40 4.099 3.982
## 45 4.203 4.132
## 50 4.264 4.230
## 55 4.276 4.269
## 60 4.254 4.270
##
## , , Race = 1, PovStat = 1
##
## Sex
## Age0 0 1
## 30 3.496 3.561
## 35 3.661 3.757
## 40 3.813 3.940
## 45 3.938 4.095
## 50 4.016 4.200
## 55 4.045 4.249
## 60 4.043 4.261
##
##
## Upper 95 Percent Confidence Limits
## , , Race = 0, PovStat = 0
##
## Sex
## Age0 0 1
## 30 5.087 4.944
## 35 5.010 4.798
## 40 4.948 4.668
## 45 4.915 4.575
## 50 4.934 4.547
## 55 5.002 4.579
## 60 5.098 4.643
##
## , , Race = 1, PovStat = 0
##
## Sex
## Age0 0 1
## 30 4.730 5.539
## 35 4.533 5.177
## 40 4.355 4.839
## 45 4.217 4.553
## 50 4.146 4.358
## 55 4.140 4.254
## 60 4.170 4.201
##
## , , Race = 0, PovStat = 1
##
## Sex
## Age0 0 1
## 30 4.710 4.609
## 35 4.669 4.589
## 40 4.638 4.582
## 45 4.629 4.601
## 50 4.664 4.672
## 55 4.748 4.803
## 60 4.865 4.970
##
## , , Race = 1, PovStat = 1
##
## Sex
## Age0 0 1
## 30 4.367 4.551
## 35 4.350 4.543
## 40 4.346 4.547
## 45 4.368 4.578
## 50 4.439 4.660
## 55 4.559 4.798
## 60 4.709 4.973
plot(e.4.3)
