Table 4 VIFs in the linear regression on SoC score and RWB score.
From: Sense of community and residential well-being among rural-urban migrants in China
SoC score | RWB score | |||
|---|---|---|---|---|
VIF | 1/VIF | VIF | 1/VIF | |
Age | 1.50 | 0.67 | 1.49 | 0.67 |
Gender | 1.09 | 0.92 | 1.09 | 0.92 |
Being married | 1.44 | 0.69 | 1.45 | 0.69 |
Educational attainment | 1.26 | 0.79 | 1.26 | 0.80 |
Hukou status | 1.15 | 0.87 | 1.16 | 0.86 |
Household monthly income | 1.11 | 0.90 | 1.11 | 0.90 |
Home ownership | 1.33 | 0.75 | 1.33 | 0.75 |
Number of housing facilities | 1.63 | 0.61 | 1.64 | 0.61 |
Number of bedrooms | 1.30 | 0.77 | 1.30 | 0.77 |
Number of living rooms | 1.78 | 0.56 | 1.79 | 0.56 |
Number of problem-solving channels | 1.21 | 0.82 | 1.22 | 0.82 |
Converted residences | 1.06 | 0.94 | 1.06 | 0.95 |
Mean VIF | 1.32 | 1.32 | ||
Heteroskedasticity | ||||
Breusch–Pagan / Cook–Weisberg test for heteroskedasticity | χ2(1) = 13.17, p = 0.0003 | χ2(1) = 1.13, p = 0.2878 | ||
Cameron and Trivedi’s decomposition of IM-test | χ2(84) = 122.06, p = 0.0042 | χ2(84) = 204.01, p = 0.0000 | ||
