Description Usage Format References Examples
The total age adjusted mortality rate, our response variable, for the years 1959-1961. The data from the U.S. covers 201 Standard Metropolitan Statistical Areas (SMSA).
1 | data("pollution")
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A data frame with 60 observations on the following 16 variables.
PRECAverage annual precipitation in inches
JANTAverage January temperature in degrees F
JULTAverage January temperature in degrees F
OVR65Percent of 1960 SMSA population aged 65 or older
POPNAverage household size
EDUCMedian school years completed by those over 22
HOUSPercent of housing units which are sound and with all facilities
DENSPopulation per sq. mile in urbanized areas, 1960
NONWPercent non-white population in urbanized areas, 1960
WWDRKPercent employed in white collar occupations
POORPercent of families with income less than 3000 USD
HCRelative hydrocarbon pollution potential
NOXRelative nitric oxides pollution potential
SOxRelative sulphur pollution potential
HUMIDAnnual average percent relative humidity at 1pm
MORTTotal age-adjusted mortality rate per 100,000
1973 Technometrics paper by McDonald and Schwing
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'data.frame': 60 obs. of 16 variables:
$ PREC : num 36 35 44 47 43 53 43 45 36 36 ...
$ JANT : num 27 23 29 45 35 45 30 30 24 27 ...
$ JULT : num 71 72 74 79 77 80 74 73 70 72 ...
$ OVR65: num 8.1 11.1 10.4 6.5 7.6 7.7 10.9 9.3 9 9.5 ...
$ POPN : num 3.34 3.14 3.21 3.41 3.44 3.45 3.23 3.29 3.31 3.36 ...
$ EDUC : num 11.4 11 9.8 11.1 9.6 10.2 12.1 10.6 10.5 10.7 ...
$ HOUS : num 81.5 78.8 81.6 77.5 84.6 66.8 83.9 86 83.2 79.3 ...
$ DENS : num 3243 4281 4260 3125 6441 ...
$ NONW : num 8.8 3.5 0.8 27.1 24.4 38.5 3.5 5.3 8.1 6.7 ...
$ WWDRK: num 42.6 50.7 39.4 50.2 43.7 43.1 49.2 40.4 42.5 41 ...
$ POOR : num 11.7 14.4 12.4 20.6 14.3 25.5 11.3 10.5 12.6 13.2 ...
$ HC : num 21 8 6 18 43 30 21 6 18 12 ...
$ NOX : num 15 10 6 8 38 32 32 4 12 7 ...
$ SOx : num 59 39 33 24 206 72 62 4 37 20 ...
$ HUMID: num 59 57 54 56 55 54 56 56 61 59 ...
$ MORT : num 922 998 962 982 1071 ...
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