Marathon GraphingPlease keep in mind that this is a research project, and there may sometimes be glitches with the interactive software. Please
let us know of any
problems you encounter, and include the computer operating system,
the browser and version you're using, and what kind of connection
you have (dial-up modem, T1, cable).
Marathon Graphing
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Introduction
Here are record-breaking times for the men's marathon from all
over the world. We've graphed the times and a line that models
the data. You can use the line to see trends in the data.
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Men's Times
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Year |
Athlete |
Time |
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| 1935 | Kitei Son | 2h 26m 42s |
| 1947 | Yun Bok Suh | 2h 25m 49s |
| 1952 | Jim Peters | 2h 20m 43s |
| 1954 | Jim Peters | 2h 17m 40s |
| 1963 | Buddy Edelen | 2h 14m 28s |
| 1969 | Derek Clayton | 2h 8m 34s |
| 1981 | Robert de Castella | 2h 8m 18s |
| 1985 | Carlos Lopes | 2h 7m 12s |
| 1999 | Khalid Khannouchi | 2h 5m 42s |
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Use the applet to graph the women's times for the marathon so you can answer the questions below.
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Women's Times
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Year | Athlete | Time | (Approx. Minutes) |
| 1964 | Dale Grieg | 3h 27m 45s | 207 |
| 1970 | Caroline Walker | 3h 2m 53s | 182 |
| 1971 | Adrienne Beames | 2h 46m 30s | 166 |
| 1974 | Jackie Hansen | 2h 43m 55s | 164 |
| 1975 | Jackie Hansen | 2h 38m 19s | 158 |
| 1977 | Christa Vahlensieck | 2h 34m 47s | 155 |
| 1978 | Grete Waitz | 2h 32m 30s | 152 |
| 1980 | Grete Waitz | 2h 25m 42s | 145 |
| 1983 | Joan Benoit | 2h 22m 43s | 143 |
| 1985 | Ingrid Kristiansen | 2h 21m 6s | 141 |
| 1998 | Tegla Loroupe | 2h 20m 47s | 140 |
| 1999 | Tegla Loroupe | 2h 20m 43s | 140 |
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Questions:
Use the graph you made in the applet to answer the following
questions:
- Based on the graph, what do you think the women's winning time
should have been this year at the Sidney 2000 Olympic Games?
- Predict when women will run the marathon as fast as men.
- What do you think the women's world record marathon time was
in 1926? Use this
Web link from the Centre for Innovation in Mathematics Teaching
(CIMT) to look up times from 1926 to see how well they fit
your prediction.
- Using lines to model data can be a powerful tool, but we have to
be careful to be aware of their limitations. What real-world
limitations do you think a line has in modeling the data?
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