To what extent does 1500 PR affect 5k PR?

4:00.09 - 1500 14:35 5k same year.

14:22 - 5k pr

The 1500 was 2 years before the pr 5k.

I will also add I never ran the 1500 or mile much.

mile 4:48 --> 1500 converted ~4:26.7

5K pr: 16:49

1500- 4:03

5k- 15:14

both a pr during this past season

1500: 4:15

5000: 16:08

seasons best by year:

2002 - 4:24, 16:30

2003 - 4:17, 17:15 (only 1 5k...on same day as the 15pr)

2004 - 4:12, 15:18

2005 - 4:12, 15:15

2006 - 4:06, 14:55

2007 - 4:08, 14:48

1500 pr 3:49.9

3000 pr 8:22

5000 pr 14:23

3:56/14:22

I was more of a 5k/10k guy -- the 3:56 was in a midseason dual meet.

4:00 - 1500, 15:10

Junior year of HS

1500: 3:52

5000: 14:25

Assuming this project is legitimate, you might want to use data that you find yourself. For example, use the PRs of world class runners. Tons of data on www.alltime-athletics.com.

Thanks, I'll definitely take a look at that, but I'd still appreciate any data I can get on here.

1500 PR 4:10

5k PR 16:03

The 5k was set about 3 weeks before the 1500

Coincidentally, my 800 PR came the same day as the 1500 and my steeple PR came 2 weeks after the 15 and 8 PRs.

All were set in Apr-May of 1995, senior year of college.

4:00 1500

14:46 5000m

Same season, about three weeks apart.

You can also use this McMillian running calander to check out estimated times for whatever events

http://www.mcmillanrunning.com/Running%20University/Article%201/mcmillanrunningcalculator.htm

1500 - 4:03

5000 - 15:41

Season bests are 4:23 and 15:51. Personal bests 4:20 and 15:51.

you should be using correlation and not regression.

as an exercise, regress 5k on 1500m and then 1500m on 5k. you'll get different slopes.

Agree with dingle. This is an issue of correlation. Regression implies that one is implying or causing/determining the other which is not the case. There is a very subtle difference here.