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Table 2 GWR model estimation Results

From: Study on PM2.5 pollution and the mortality due to lung cancer in China based on geographic weighted regression model

  Mean Median Min Max
Year 2004 Year 2008 Year 2004 Year 2008 Year 2004 Year 2008 Year 2004 Year 2008
PM2.5 0.0047 0.0096 0.0019 0.0110 −0.0040 − 0.0281 0.0274 0.0391
lngdp 0.1032 0.1559 0.1399 0.1823 −1.0014 −1.1763 0.5566 0.6384
lncost 0.4422 1.2551 0.1921 0.6807 −1.3661 −0.5790 2.0427 6.5961
lnmedi −0.1449 0.2783 −0.1103 0.1668 −0.8896 −0.6085 0.1797 1.9552
popu 0.0002 −0.0001 −0.0011 0.0009 −0.0052 − 0.0086 0.0018 0.0032
intercept −2.0213 −1.3147 −0.4548 −5.6989 − 21.0838 −7.9364 4.7124 5.2347
R2 0.5660 0.6774 0.5660 0.6774 0.5660 0.6774 0.5660 0.6774
Adj R2 0.4395 0.5833 0.4395 0.5833 0.4395 0.5833 0.4395 0.5833
  1. lngdp: per capita gross domestic product; lncost: per capita medical expenses; lnmedi: number of provincial general hospitals; popu: population density
  2. Geographically weighted regression could report estimated coefficients for each variable in each province. Therefore, there will be 31 estimated coefficients for each variable, corresponding to 31 provinces. In order to compare them between different period, the average, median, minimum, and maximum values of the 31 estimated coefficients were calculated and reported in Table 2