• Story Name: Smoking and Lung Cancer
  • Story Topics: Health, Medical,
  • Datafile Name: Smoking and Cancer
  • Methods: Correlation, Regression, Scatterplot,
  • Abstract:

    Government statisticians in England conducted a study of the relationship between smoking and lung cancer. The data concern 25 occupational groups and are condensed from data on thousands of individual men. The explanatory variable is the number of cigarettes smoked per day by men in each occupation relative to the number smoked by all men of the same age. This smoking ratio is 100 if men in an occupation are exactly average in their smoking, it is below 100 if they smoke less than average, and above 100 if they smoke more than average. The response variable is the standardized mortality ratio for deaths from lung cancer. It is also measured relative to the entire population of men of the same ages as those studied, and is greater or less than 100 when there are more or fewer deaths from lung cancer than would be expected based on the experience of all English men.

    A scatterplot of the data shows a moderately strong linear association, with a correlation coefficient of 0.716. Residuals from a regression of mortality on smoking are randomly scattered with no outliers or influential observations.

  • Images:
    Mortality vs Smoking

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