Description: Per capita numbers of cigarettes smoked/sold by 43 US States and the District of Columbia in 1960 along with death rates from various forms of cancer Variables: STATE – US State/District CIG – Number of cigarettes smoked/sold (hds per capita) BLAD – Number of deaths per 100k people in the population from bladder cancer LUNG – Number of deaths per 100k people in the population from lung cancer KID – Number of deaths per 100k people in the population from kidney cancer LEUK – Number of deaths per 100k people in the population from leukemia Research Question: Taking note that cigarette sales can be swelled by tourism, find a ‘best’ simple linear model to predict the number of cigarettes smoked/sold.
Description: Per capita numbers of cigarettes smoked/sold by 43 US States and the District of Columbia in 1960 along with death rates from various forms of cancer
Variables:
STATE – US State/District
CIG – Number of cigarettes smoked/sold (hds per capita)
BLAD – Number of deaths per 100k people in the population from bladder cancer
LUNG – Number of deaths per 100k people in the population from lung cancer
KID – Number of deaths per 100k people in the population from kidney cancer
LEUK – Number of deaths per 100k people in the population from leukemia
Research Question: Taking note that cigarette sales can be swelled by tourism, find a ‘best’ simple linear model to predict the number of cigarettes smoked/sold.
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