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2004»65th

Paris-Camembert

(1.2)
2004»One day race»ParisCamembert(200km)

Regression line on weight and result

With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.

The formula for the regression line on the riders in the result is as follows:

result = -0.4 * weight + 45

This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
#RiderWeight (KG)
1 BOUYER Franck65
2 LÖFKVIST Thomas70
3 COENEN Johan67
4 CASAR Sandy63
5 CHAVANEL Sylvain73
6 KASHECHKIN Andrey70
7 BROCHARD Laurent68
9 FÉDRIGO Pierrick66
10 FINOT Frédéric65
11 ROBIN Jean-Cyril63
12 CHARTEAU Anthony67
13 BOUVARD Gilles70
14 GILBERT Philippe75
16 BÉNÉTEAU Walter67
17 HALGAND Patrice67
18 FRITSCH Nicolas65
19 FAILLI Francesco65
20 AGNOLUTTO Christophe69
21 BOTCHAROV Alexandre54
23 AUGER Ludovic78
24 PINEAU Jérôme65
26 ROY Jérémy70
27 GOUBERT Stéphane62
28 VALENTIN Tristan69
31 BERTHOU Eric72
32 KRIVTSOV Yuriy72
33 VOGONDY Nicolas62
34 CHAURREAU Íñigo60
35 POILVET Benoît71
36 LE MÉVEL Christophe61
37 GABRIEL Frédéric60