1, DATA SET
year month day SO2 NO2 Number of hospital admissions
Fan, J. and Chen, J. (1999).
One-step local quasi-likelihood estimation,
{\it Journal of the Royal Statistical Society}, Series B, {\bf 61}, 4, 927--943.
Fan and Chen (1999) discuss an enviromental dataset, consisting of daily measurements of pollutants
and other environmental factors in Hong Kong between January 1, 1994 and December 31, 1995.
The association between levels of pollutants and number of daily hospital admissions for
circulation and respiration problems is of particular interest.
The data file consists of 6 columns:
(1) year, (2) month, (3) day in month, (4) concentration of Sulphur Dioxde $SO_2$, (5) concentration
of polutant Nitrogen $NO_2$ and (6) number of hopital admissions.
(a) Using logistic regression, find how the probability of hight level of
Sulphur Dioxde
(with values > 20 $\mu g/m^3$) is associated with level of polutant Nitrogen $NO_2.$
(b) Using Poisson regression model explore and how the number of hospital admissions
varies with the level of $NO_2.$