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2005   »   46th Tour du Loir et Cher E Provost (2.2)

Stage 1   »   Blois  ›  Meusnes   (178km)
2005 | Stage 1
Blois › Meusnes (178km)
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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 = 1.4 * weight - 53

This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
# Rider Weight (KG)
8 FLAHAUT Denis66
10 WAGNER Robert75
12 DEKKERS Hans72
13 DEHAES Kenny73
14 DRUJON Mathieu75
15 BOŽIČ Borut70
22 DE WILDE Sjef74
25 VEELERS Tom75
28 DIDIER Laurent68
31 DE MAAR Marc70
32 CAZAUX Pierre59
36 ROUSSEAU Nicolas70
39 STAMSNIJDER Tom76
40 MARIN Matej67
42 PATANCHON Fabien69
44 GOESINNEN Floris75
45 REUS Kai70
48 HEIJBOER Mathieu78
49 HUGUET Yann66
51 LADAGNOUS Matthieu73
55 REIHS Michael75
56 DUIJN Huub73
58 HRAZDIRA Michal77
60 SCHILLINGER Andreas72
63 STREEL Marc69
68 LEBAS Thomas65
69 SCHETS Steve74
74 CORNU Dominique78
84 VANHEULE Bart76
89 HUIZENGA Jenning72
95 ROELANDTS Jürgen78
100 IMPEY Daryl72