cars

0th

Percentile

Speed and Stopping Distances of Cars

The data give the speed of cars and the distances taken to stop. Note that the data were recorded in the 1920s.

Keywords
datasets
Usage
cars
Format

A data frame with 50 observations on 2 variables.

 [,1] speed numeric Speed (mph) [,1] speed

Source

Ezekiel, M. (1930) Methods of Correlation Analysis. Wiley.

References

McNeil, D. R. (1977) Interactive Data Analysis. Wiley.

• cars
Examples
library(datasets) require(stats); require(graphics) plot(cars, xlab = "Speed (mph)", ylab = "Stopping distance (ft)", las = 1) lines(lowess(cars$speed, cars$dist, f = 2/3, iter = 3), col = "red") title(main = "cars data") plot(cars, xlab = "Speed (mph)", ylab = "Stopping distance (ft)", las = 1, log = "xy") title(main = "cars data (logarithmic scales)") lines(lowess(cars$speed, cars$dist, f = 2/3, iter = 3), col = "red") summary(fm1 <- lm(log(dist) ~ log(speed), data = cars)) opar <- par(mfrow = c(2, 2), oma = c(0, 0, 1.1, 0), mar = c(4.1, 4.1, 2.1, 1.1)) plot(fm1) par(opar) ## An example of polynomial regression plot(cars, xlab = "Speed (mph)", ylab = "Stopping distance (ft)", las = 1, xlim = c(0, 25)) d <- seq(0, 25, length.out = 200) for(degree in 1:4) { fm <- lm(dist ~ poly(speed, degree), data = cars) assign(paste("cars", degree, sep = "."), fm) lines(d, predict(fm, data.frame(speed = d)), col = degree) } anova(cars.1, cars.2, cars.3, cars.4) 
Documentation reproduced from package datasets, version 3.2.4, License: Part of R 3.2.4

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