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Table 2 Results of historical PM2.5, NO2 and O3 linear regression models.

From: Spatiotemporal air pollution exposure assessment for a Canadian population-based lung cancer case-control study

Model Distance Value SE p
PM 2.5 Model [R 2 = 0.33, RMSE = 3.57]
Intercept - 1.18 1.16 0.31
Satellite PM2.5 - 0.46 0.11 < 0.001
Population Density 10 km 3.94e-6 2.89e-7 < 0.001
Years < 1994 - 0.29 9.28e-3 < 0.001
NO 2 Model [R 2 = 0.36, RMSE = 7.00]
Intercept - 10.88 1.07 < 0.001
Satellite NO2 - 1.67 0.46 < 0.001
Population Density 5 km 2.6e-5 5.11e-6 < 0.001
Years < 1994 - 0.28 0.028 < 0.001
O 3 Model [R 2 = 0.47, RMSE = 5.13]
Intercept - 6.85 1.66 < 0.001
O3 Dispersion Model - 0.73 0.06 < 0.001
Population Density 5 km -2.0e-5 2.5e-6 < 0.001