Data for Statistical Insight Chapter 10

Supercar

## Format

A data frame/tibble with 30 observations on two variables

speed

top speed (in miles per hour) of car without redlining

car

name of sports car

## Source

Car and Drvier (July 1995).

## References

Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.

## Examples


boxplot(speed ~ car, data = Supercar, col = rainbow(6),
ylab = "Speed (mph)")

summary(aov(speed ~ car, data = Supercar))
#>             Df Sum Sq Mean Sq F value  Pr(>F)
#> car          4   1456   364.1   25.14 1.9e-08 ***
#> Residuals   25    362    14.5
#> ---
#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
anova(lm(speed ~ car, data = Supercar))
#> Analysis of Variance Table
#>
#> Response: speed
#>           Df  Sum Sq Mean Sq F value    Pr(>F)
#> car        4 1456.52  364.13  25.145 1.903e-08 ***
#> Residuals 25  362.02   14.48
#> ---
#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1