Data for Exercises 2.97, 5.115, and 9.62

Track

Format

A data frame with 55 observations on eight variables

country

athlete's country

100m

time in seconds for 100 m

200m

time in seconds for 200 m

400m

time in seconds for 400 m

800m

time in minutes for 800 m

1500m

time in minutes for 1500 m

3000m

time in minutes for 3000 m

marathon

time in minutes for marathon

Source

Dawkins, B. (1989), "Multivariate Analysis of National Track Records," The American Statistician, 43(2), 110-115.

References

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

Examples


plot(`200m` ~ `100m`, data = Track)

plot(`400m` ~ `100m`, data = Track)

plot(`400m` ~ `200m`, data = Track)

cor(Track[, 2:8])
#>               100m      200m      400m      800m     1500m     3000m  marathon
#> 100m     1.0000000 0.9527911 0.8346918 0.7276888 0.7283709 0.7138310 0.6863358
#> 200m     0.9527911 1.0000000 0.8569621 0.7240597 0.6983643 0.6844756 0.6855745
#> 400m     0.8346918 0.8569621 1.0000000 0.8984052 0.7878417 0.7525889 0.7054241
#> 800m     0.7276888 0.7240597 0.8984052 1.0000000 0.9016138 0.8511240 0.7792922
#> 1500m    0.7283709 0.6983643 0.7878417 0.9016138 1.0000000 0.9550566 0.8779334
#> 3000m    0.7138310 0.6844756 0.7525889 0.8511240 0.9550566 1.0000000 0.8858136
#> marathon 0.6863358 0.6855745 0.7054241 0.7792922 0.8779334 0.8858136 1.0000000