Data Set for Problem 2-13

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Description

The p2.13 data frame has 16 observations on the number of days the ozone levels exceeded 0.2 ppm in the South Coast Air Basin of California for the years 1976 through 1991. It is believed that these levels are related to temperature.

Usage

1

Format

This data frame contains the following columns:

days

number of days ozone levels exceeded 0.2 ppm

index

a seasonal meteorological index giving the seasonal average 850 millibar temperature.

Source

Montgomery, D.C., Peck, E.A., and Vining, C.G. (2001) Introduction to Linear Regression Analysis. 3rd Edition, John Wiley and Sons.

References

Davidson, A. (1993) Update on Ozone Trends in California's South Coast Air Basin. Air Waste, 43, 226-227.

Examples

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data(p2.13)
attach(p2.13)
plot(days~index, ylim=c(-20,130))
ozone.lm <- lm(days ~ index)
summary(ozone.lm)
# plots of confidence and prediction intervals:
ozone.conf <- predict(ozone.lm, interval="confidence")
lines(sort(index), ozone.conf[order(index),2], col="red")
lines(sort(index), ozone.conf[order(index),3], col="red")
ozone.pred <- predict(ozone.lm, interval="prediction")
lines(sort(index), ozone.pred[order(index),2], col="blue")
lines(sort(index), ozone.pred[order(index),3], col="blue")
detach(p2.13)

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