Description Usage Format Source
Predict the mortality rate in 20 U.S. cities given the average January temperature, pollution level, and percentage of nonwhites, etc.
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A data frame with 60 observations (rows) and 16 variables (columns):
An integer column with average annual precipitation (in inches)
An integer column with the average January temperature (F)
An integer column with the average July temperature (F)
A numeric column with the percent of 1960 SMSA population aged 65 or older (Percent: 0 - 100)
A numeric column with the average household size
A numeric column with the median school yers completed by those over 22
A numeric column with the percent of housing unites which are sound and with all facilities (Percent: 0 -100)
An integer column with population per sq. mile in urbanized areas, 1960
A numeric column with the percent non-white population in urbanized areas, 1960 (Percent: 0 -100)
A numeric column with the percent occupaitions that are white collar (Percent: 0 - 100)
A numeric column with the percent of households with less than $3000 in annual income (Percent: 0 -100)
An integer column with the relative hydrocarbon pollution potential
An integer column with the relative nitric oxides potential
An integer column with the relative sulphur dioxide
An integer column with the annual average percent relatve humidity at 1 pm (Percent: 0 -100)
A numeric column with the total age-adjusted mortality rate per 100,000
McDonald, G. C, & Schwing, R. C. (1973). Instabilities of regression estimates relating air pollution to mortality. Technometrics, 15, 463—482; This data and its summary is pulled from StatLib: http://lib.stat.cmu.edu/datasets/pollution
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