Description Usage Value Source References Examples

A data comprising of observations from 80 US cities for the year 1960 on 11 variables. These include a number of measures of air pollution, specifically concentrations of sulphate and suspended particulate, as well as a number of demographic variables.

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A data frame with 80 rows and 11 variables. The data frame contains the following columns:

- SMIN
Smallest biweekly sulphate reading in micrograms per cubic metre (x 10).

- SMEAN
Arithmetic mean of biweekly sulphate reading in micrograms per cubic metre (x 10).

- SMAX
Largest biweekly sulphate reading in micrograms per cubic metre (x 10).

- PMIN
Smallest biweekly suspended particulate reading in micrograms per cubic metre (x 10).

- PMEAN
Arithmetic mean of biweekly suspended particulate reading in micrograms per cubic metre (x 10).

- PMAX
Largest biweekly suspended particulate reading in micrograms per cubic metre (x 10).

- PM2
Population density per square mile (x 0.1).

- PERWH
Percent of population who are white.

- NONPOOR
Percent of families with income above the poverty level.

- GE65
Percent of population who are at least 65 (x 10).

- LPOP
Logarithm (base 10) of population (x 10).

The complete data set is described in Gibbons *et al.* (1987).

D.I. Gibbons and G.C. McDonald and R.F. Gunst (1987), The complementary use of
regression diagnostics and robust estimators. *Naval Research Logistics*,
**34**, 109–131.

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