9.13
Using the SHHS data in Table 2.10,fit all possible multiple
regression models (without interactions) that predict the y
variable serum total cholesterol from diastolic blood
pressure,systolic blood pressure,alcohol,carbon monoxide and
cotinine. Scrutinize your results to understand how the x variables
act in conjuction.For these data,which is the "best " multiple
regression model for cholesterol? What percentage of variation does
it explain?
Serum total cholesrerol
(mmol/l)
Diastolic blood pressure (mmHg)
Systolic blood pressure (mmHg)
Alcohol (g/day)
Cigarettes (no./day)
Carbon monoxide(ppm)...