Runners {mosaicModel}

Performance of runners in a ten-mile race as they age

Description

These data are assembled from the records of the "Cherry Blossom Ten Miler" held in Washington, DC each April. The records span the years 1999 to 2008.

Usage

data(Runners)

Format

A data frame Runners with 24,334 rows and 8 variables.

• age The runners age at the time of the race.

• net The time (in min.) elapsed from when the runner crossed the start line until the finish.

• gun The time (in min.) from when the starter's gun was fired to when the runner finished the race. With so many participants, some runners do not reach the start line until several minutes after the gun.

• sex The runner's sex.

• previous How many times the runner participated before this year's race.

• nruns How many of the 10 years' runs the runner eventually participated in.

• start_position A made-up categorical description of where the runner was situated in the line up for the race..

Details

There are about 10,000 participants each year, of whom roughly half have run the race previously. During the ten years of these records, some 25 runners ran in ech of the years, 73 ran in nine of the years, and so on. The data allow you to track the performace of runners as they age. This simplified version of the data does not include personal identifying data other than sex, age, and number of previous runs in any given year. (Runs before 1999 are not considered.)

Examples

mod_1 = lm(net ~ age + sex, data = Runners)