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2013»60th

Ronde de l'Oise

(2.2)
2013»Stage 4 (Final)»BeauvaisRantigny(180.2km)

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 = -0.1 * weight + 39

This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
#RiderWeight (KG)
1 BREEN Vegard74
2 JÉRÔME Vincent65
3 O'SHEA Glenn76
5 TRONET Steven67
6 BAUGNIES Jérôme69
7 PARDINI Olivier68
8 KNEISKY Morgan68
9 TULIK Angélo64
12 KERN Christophe72
13 TURGIS Jimmy63
14 THEVENOT Guillaume69
15 JAKIN Alo71
16 BARBIER Rudy79
17 BOSMAN Gert-Jan68
18 HIRT Jan62
22 EZQUERRA Jesús68
29 BERNAUDEAU Giovanni62
34 STASSEN Julien66
35 MCNALLY Mark72
37 SILVESTRE Fábio78
39 GODRIE Stan74
40 MATHEOU Romain73
42 DION Renaud65
43 PÉRICHON Pierre-Luc69
44 VAN BREUSSEGEM Elias68
45 VAN DER HAAR Lars58
47 MORICE Julien81
48 JARRIER Benoît69
49 ITURRIA Mikel69
50 MALACARNE Gael73
51 DELPECH Jean-Luc72
52 GRELLIER Fabien65
54 MINNAARD Marco65
56 GARDEYN Gorik75
58 LEROUX Samuel79
62 DRANCOURT Pierre68
64 POUILLY Félix66
66 MAURELET Flavien56