Results

ANOVA

ANOVA - SocTrust
Cases Sum of Squares df Mean Square F p
educ2 37.88 3 12.628 2.902 0.034
hhsize 16.75 7 2.393 0.550 0.797
conflict 27.18 4 6.794 1.561 0.182
poverty 34.01 4 8.501 1.954 0.099
educ2 ✻ hhsize 110.32 18 6.129 1.409 0.117
educ2 ✻ conflict 61.94 12 5.162 1.186 0.287
educ2 ✻ poverty 64.07 12 5.339 1.227 0.258
hhsize ✻ conflict 84.94 23 3.693 0.849 0.670
hhsize ✻ poverty 109.73 21 5.225 1.201 0.240
conflict ✻ poverty 34.59 16 2.162 0.497 0.950
educ2 ✻ hhsize ✻ conflict 181.12 50 3.622 0.833 0.792
educ2 ✻ hhsize ✻ poverty 178.09 40 4.452 1.023 0.431
educ2 ✻ conflict ✻ poverty 115.44 37 3.120 0.717 0.897
hhsize ✻ conflict ✻ poverty 213.10 51 4.178 0.960 0.554
educ2 ✻ hhsize ✻ conflict ✻ poverty 199.48 55 3.627 0.834 0.803
Residual 6713.54 1543 4.351  
Note.  Type III Sum of Squares
Warning.  Singular fit encountered; one or more predictor variables are a linear combination of other predictor variables

ANOVA

ANOVA - SocTrust
Cases Sum of Squares df Mean Square F p
educ2 . . . . .
conflict . . . . .
poverty . . . . .
divorced . . . . .
unempl3mever . . . . .
agegrp6 . . . . .
educ2 ✻ conflict . . . . .
educ2 ✻ poverty . . . . .
educ2 ✻ divorced . . . . .
educ2 ✻ unempl3mever . . . . .
educ2 ✻ agegrp6 . . . . .
conflict ✻ poverty . . . . .
conflict ✻ divorced . . . . .
conflict ✻ unempl3mever . . . . .
conflict ✻ agegrp6 . . . . .
poverty ✻ divorced . . . . .
poverty ✻ unempl3mever . . . . .
poverty ✻ agegrp6 . . . . .
divorced ✻ unempl3mever . . . . .
divorced ✻ agegrp6 . . . . .
unempl3mever ✻ agegrp6 . . . . .
educ2 ✻ conflict ✻ poverty . . . . .
educ2 ✻ conflict ✻ divorced . . . . .
educ2 ✻ conflict ✻ unempl3mever . . . . .
educ2 ✻ conflict ✻ agegrp6 . . . . .
educ2 ✻ poverty ✻ divorced . . . . .
educ2 ✻ poverty ✻ unempl3mever . . . . .
educ2 ✻ poverty ✻ agegrp6 . . . . .
educ2 ✻ divorced ✻ unempl3mever . . . . .
educ2 ✻ divorced ✻ agegrp6 . . . . .
educ2 ✻ unempl3mever ✻ agegrp6 . . . . .
conflict ✻ poverty ✻ divorced . . . . .
conflict ✻ poverty ✻ unempl3mever . . . . .
conflict ✻ poverty ✻ agegrp6 . . . . .
conflict ✻ divorced ✻ unempl3mever . . . . .
conflict ✻ divorced ✻ agegrp6 . . . . .
conflict ✻ unempl3mever ✻ agegrp6 . . . . .
poverty ✻ divorced ✻ unempl3mever . . . . .
poverty ✻ divorced ✻ agegrp6 . . . . .
poverty ✻ unempl3mever ✻ agegrp6 . . . . .
divorced ✻ unempl3mever ✻ agegrp6 . . . . .
educ2 ✻ conflict ✻ poverty ✻ divorced . . . . .
educ2 ✻ conflict ✻ poverty ✻ unempl3mever . . . . .
educ2 ✻ conflict ✻ poverty ✻ agegrp6 . . . . .
educ2 ✻ conflict ✻ divorced ✻ unempl3mever . . . . .
educ2 ✻ conflict ✻ divorced ✻ agegrp6 . . . . .
educ2 ✻ conflict ✻ unempl3mever ✻ agegrp6 . . . . .
educ2 ✻ poverty ✻ divorced ✻ unempl3mever . . . . .
educ2 ✻ poverty ✻ divorced ✻ agegrp6 . . . . .
educ2 ✻ poverty ✻ unempl3mever ✻ agegrp6 . . . . .
educ2 ✻ divorced ✻ unempl3mever ✻ agegrp6 . . . . .
conflict ✻ poverty ✻ divorced ✻ unempl3mever . . . . .
conflict ✻ poverty ✻ divorced ✻ agegrp6 . . . . .
conflict ✻ poverty ✻ unempl3mever ✻ agegrp6 . . . . .
conflict ✻ divorced ✻ unempl3mever ✻ agegrp6 . . . . .
poverty ✻ divorced ✻ unempl3mever ✻ agegrp6 . . . . .
educ2 ✻ conflict ✻ poverty ✻ divorced ✻ unempl3mever . . . . .
educ2 ✻ conflict ✻ poverty ✻ divorced ✻ agegrp6 . . . . .
educ2 ✻ conflict ✻ poverty ✻ unempl3mever ✻ agegrp6 . . . . .
educ2 ✻ conflict ✻ divorced ✻ unempl3mever ✻ agegrp6 . . . . .
educ2 ✻ poverty ✻ divorced ✻ unempl3mever ✻ agegrp6 . . . . .
conflict ✻ poverty ✻ divorced ✻ unempl3mever ✻ agegrp6 . . . . .
educ2 ✻ conflict ✻ poverty ✻ divorced ✻ unempl3mever ✻ agegrp6 . . . . .
Residual . . . . .
Note.  Type III Sum of Squares

Linear Regression

Model Summary
Model R R² Adjusted R² RMSE R² Change F Change df1 df2 p Durbin-Watson
1 0.454 0.206 0.192 1.896 0.206 15.15 24 1403 < .001 2.039
ANOVA
Model Sum of Squares df Mean Square F p VS-MPR*
1 Regression 1307 24 54.443 15.15 < .001 2.908e +51
Residual 5041 1403 3.593  
Total 6348 1427  
* Vovk-Sellke Maximum p -Ratio: Based the p -value, the maximum possible odds in favor of H₁ over H₀ equals 1/(-e p log( p )) for p ≤ .37 (Sellke, Bayarri, & Berger, 2001).
Coefficients
Collinearity Statistics
Model Unstandardized Standard Error Standardized t p VS-MPR* Tolerance VIF
1 intercept 2.137 0.739   2.891 0.004 17.007    
fair 0.242 0.029 0.225 8.229 < .001 2.440e +13 0.759 1.317
help 0.193 0.027 0.186 7.133 < .001 8.618e  +9 0.832 1.203
vote -0.034 0.092 -0.011 -0.366 0.714 1.000 0.648 1.544
happy 0.115 0.033 0.094 3.503 < .001 101.164 0.793 1.260
intimate 0.120 0.038 0.084 3.178 0.002 37.375 0.815 1.227
socactivity 0.036 0.070 0.013 0.518 0.605 1.000 0.833 1.200
religious -0.010 0.022 -0.017 -0.471 0.638 1.000 0.437 2.287
pray 0.040 0.035 0.042 1.133 0.258 1.053 0.409 2.447
citizen 0.276 0.271 0.028 1.017 0.309 1.014 0.745 1.342
conflict -0.062 0.050 -0.033 -1.227 0.220 1.104 0.767 1.304
poverty 0.025 0.047 0.014 0.537 0.591 1.000 0.795 1.258
hhsize 0.056 0.042 0.036 1.349 0.178 1.199 0.779 1.284
sex -0.389 0.104 -0.092 -3.741 < .001 225.478 0.931 1.075
partnered -0.215 0.113 -0.050 -1.905 0.057 2.253 0.823 1.215
divorced -0.035 0.138 -0.006 -0.256 0.798 1.000 0.880 1.136
size -0.049 0.041 -0.029 -1.191 0.234 1.083 0.942 1.062
unempl3mever -0.006 0.111 -0.001 -0.058 0.954 1.000 0.865 1.156
agegrp6 0.002 0.045 0.001 0.036 0.971 1.000 0.605 1.654
meet2 -0.022 0.040 -0.014 -0.553 0.581 1.000 0.830 1.205
attend2 -0.101 0.076 -0.043 -1.317 0.188 1.171 0.528 1.893
denom2 -0.016 0.022 -0.022 -0.721 0.471 1.000 0.626 1.597
polact 0.121 0.060 0.051 2.017 0.044 2.683 0.871 1.148
racegood5 0.117 0.064 0.046 1.834 0.067 2.034 0.905 1.105
leftright -0.116 0.054 -0.054 -2.138 0.033 3.289 0.873 1.146
* Vovk-Sellke Maximum p -Ratio: Based the p -value, the maximum possible odds in favor of H₁ over H₀ equals 1/(-e p log( p )) for p ≤ .37 (Sellke, Bayarri, & Berger, 2001).
Collinearity Diagnostics
Variance Proportions
Model Dimension Eigenvalue Condition Index intercept fair help vote happy intimate socactivity religious pray citizen conflict poverty hhsize sex partnered divorced size unempl3mever agegrp6 meet2 attend2 denom2 polact racegood5 leftright
1 1 21.394 1.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
2 0.648 5.746 0.000 0.000 0.000 0.000 0.000 0.006 0.000 0.007 0.000 0.000 0.001 0.000 0.001 0.000 0.001 0.000 0.002 0.000 0.005 0.004 0.000 0.006 0.680 0.000 0.003
3 0.617 5.888 0.000 0.000 0.001 0.001 0.000 0.000 0.000 0.097 0.013 0.000 0.000 0.000 0.000 0.001 0.000 0.000 0.003 0.000 0.004 0.001 0.003 0.088 0.058 0.000 0.001
4 0.344 7.881 0.000 0.001 0.003 0.055 0.000 0.002 0.001 0.022 0.003 0.000 0.001 0.000 0.198 0.000 0.000 0.000 0.006 0.002 0.106 0.002 0.001 0.007 0.026 0.000 0.000
5 0.285 8.670 0.000 0.008 0.020 0.005 0.001 0.234 0.003 0.003 0.000 0.001 0.001 0.003 0.008 0.000 0.001 0.000 0.020 0.001 0.007 0.199 0.000 0.006 0.098 0.000 0.000
6 0.221 9.836 0.000 0.001 0.000 0.080 0.001 0.001 0.000 0.036 0.004 0.004 0.000 0.000 0.269 0.007 0.000 0.000 0.190 0.001 0.001 0.000 0.000 0.156 0.000 0.001 0.000
7 0.172 11.148 0.000 0.004 0.009 0.036 0.000 0.005 0.000 0.029 0.001 0.000 0.001 0.001 0.086 0.001 0.002 0.000 0.637 0.000 0.004 0.164 0.000 0.013 0.005 0.000 0.000
8 0.156 11.720 0.000 0.042 0.438 0.051 0.000 0.186 0.006 0.023 0.000 0.000 0.001 0.000 0.004 0.001 0.000 0.000 0.001 0.000 0.019 0.006 0.000 0.061 0.003 0.000 0.007
9 0.152 11.856 0.000 0.007 0.076 0.144 0.000 0.010 0.001 0.048 0.019 0.001 0.011 0.025 0.079 0.029 0.002 0.001 0.004 0.008 0.030 0.009 0.000 0.324 0.032 0.001 0.028
10 0.141 12.315 0.000 0.001 0.046 0.005 0.003 0.368 0.003 0.004 0.000 0.000 0.029 0.030 0.039 0.001 0.023 0.002 0.065 0.013 0.012 0.365 0.000 0.008 0.007 0.000 0.002
11 0.109 14.036 0.000 0.001 0.013 0.129 0.001 0.025 0.002 0.117 0.002 0.003 0.040 0.146 0.046 0.052 0.046 0.001 0.004 0.005 0.193 0.039 0.000 0.060 0.001 0.000 0.028
12 0.099 14.669 0.000 0.000 0.021 0.017 0.001 0.049 0.000 0.004 0.064 0.001 0.016 0.001 0.009 0.461 0.043 0.000 0.011 0.025 0.046 0.000 0.027 0.129 0.000 0.002 0.004
13 0.091 15.317 0.000 0.011 0.030 0.000 0.000 0.020 0.023 0.014 0.025 0.000 0.076 0.064 0.026 0.101 0.029 0.001 0.024 0.000 0.011 0.034 0.004 0.003 0.005 0.001 0.432
14 0.081 16.238 0.000 0.036 0.045 0.028 0.009 0.011 0.028 0.095 0.061 0.003 0.000 0.000 0.011 0.169 0.117 0.004 0.006 0.017 0.063 0.006 0.010 0.037 0.029 0.034 0.238
15 0.074 17.059 0.000 0.030 0.036 0.062 0.016 0.009 0.004 0.090 0.030 0.006 0.044 0.106 0.133 0.034 0.201 0.015 0.001 0.114 0.226 0.005 0.004 0.002 0.001 0.000 0.027
16 0.067 17.840 0.000 0.544 0.211 0.007 0.033 0.015 0.002 0.095 0.091 0.000 0.003 0.003 0.007 0.001 0.010 0.001 0.003 0.016 0.002 0.010 0.023 0.005 0.001 0.005 0.104
17 0.064 18.354 0.000 0.005 0.008 0.010 0.004 0.000 0.014 0.004 0.003 0.006 0.008 0.003 0.016 0.023 0.217 0.022 0.000 0.744 0.002 0.005 0.000 0.013 0.000 0.004 0.003
18 0.056 19.624 0.000 0.149 0.031 0.002 0.064 0.034 0.417 0.133 0.087 0.007 0.007 0.007 0.044 0.005 0.037 0.001 0.000 0.018 0.092 0.054 0.015 0.013 0.021 0.019 0.010
19 0.047 21.300 0.000 0.001 0.001 0.001 0.008 0.000 0.030 0.005 0.019 0.004 0.674 0.561 0.001 0.001 0.031 0.007 0.001 0.001 0.013 0.003 0.000 0.000 0.006 0.003 0.007
20 0.043 22.268 0.000 0.069 0.001 0.033 0.050 0.001 0.307 0.045 0.033 0.004 0.014 0.006 0.010 0.013 0.036 0.117 0.000 0.006 0.003 0.019 0.001 0.006 0.002 0.389 0.011
21 0.039 23.385 0.000 0.001 0.000 0.000 0.103 0.000 0.007 0.001 0.017 0.012 0.005 0.000 0.004 0.003 0.125 0.362 0.000 0.002 0.017 0.003 0.023 0.001 0.000 0.413 0.020
22 0.036 24.393 0.001 0.078 0.008 0.046 0.700 0.003 0.064 0.003 0.014 0.030 0.017 0.014 0.000 0.001 0.034 0.203 0.000 0.005 0.040 0.005 0.004 0.003 0.002 0.022 0.000
23 0.032 25.958 0.000 0.001 0.002 0.033 0.000 0.001 0.003 0.017 0.362 0.078 0.000 0.000 0.003 0.025 0.023 0.130 0.002 0.001 0.027 0.002 0.654 0.049 0.000 0.003 0.000
24 0.028 27.851 0.000 0.002 0.001 0.246 0.002 0.000 0.030 0.006 0.085 0.740 0.048 0.012 0.001 0.002 0.002 0.043 0.003 0.012 0.025 0.019 0.153 0.000 0.007 0.015 0.005
25 0.004 70.599 0.998 0.007 0.000 0.009 0.002 0.019 0.056 0.101 0.067 0.100 0.003 0.016 0.003 0.069 0.019 0.088 0.016 0.006 0.054 0.044 0.075 0.011 0.015 0.089 0.069
Casewise Diagnostics
Case Number Std. Residual SocTrust Predicted Value Residual
127 3.248 10.000 3.909 6.091
386 3.160 10.000 4.059 5.941
405 3.098 10.000 4.173 5.827
439 -3.049 0.000 5.698 -5.698
638 -3.599 0.000 6.779 -6.779
683 -3.083 0.000 5.801 -5.801
1078 3.202 10.000 3.997 6.003
Residuals Statistics
Minimum Maximum Mean SD N
Predicted Value 1.479 7.534 4.766 0.957 1428
Residual -6.779 6.091 0.000 1.880 1428
Std. Predicted Value -3.435 2.892 0.000 1.000 1428
Std. Residual -3.599 3.248 -0.000 1.001 1428

Residuals vs. Dependent

Standardized Residuals Histogram

Q-Q Plot Standardized Residuals