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Table 3 Summary results for best non-spatial linear regression model for malaria prevalence

From: Spatially variable risk factors for malaria in a geographically heterogeneous landscape, western Kenya: an explorative study

Variable Coefficient Std error P value Robust Std error Robust P value VIF
Intercept −0.827 0.059 <0.0001 0.061 <0.0001
Outdoor occupation 0.566 0.195 0.005 0.200 0.006 1.16
Highest SES 0.240 0.098 0.017 0.101 0.020 1.55
Population density −0.004 0.001 <0.0001 0.001 0.001 1.38
Statistic Value
Joint Wald Statistic 18.75; p = 0.001
Moran’s I 0.45; p = 0.21
Breusch–Pagan statistic 8.86; p = 0.03
Jarque–Bera statistic 4.05; p = 0.13
  1. SES socio economic status, VIF variance inflation factor