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2005»46th

Tour du Loir et Cher E Provost

(2.2)
2005»Stage 2»MerLamotte Beuvron(165.5km)

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 = -1.2 * weight + 125

This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
#RiderWeight (KG)
1 DEKKERS Hans72
2 FLAHAUT Denis66
3 LADAGNOUS Matthieu73
5 WAGNER Robert75
8 SCHETS Steve74
11 DRUJON Mathieu75
13 DEHAES Kenny73
15 VEELERS Tom75
16 DE WILDE Sjef74
18 ROUSSEAU Nicolas70
23 DIDIER Laurent68
29 BOŽIČ Borut70
30 GOESINNEN Floris75
32 IMPEY Daryl72
34 MARIN Matej67
35 REIHS Michael75
38 ROELANDTS Jürgen78
39 STAMSNIJDER Tom76
44 DE MAAR Marc70
46 SCHILLINGER Andreas72
47 STREEL Marc69
51 HUGUET Yann66
54 LEBAS Thomas65
56 CORNU Dominique78
59 VANHEULE Bart76
60 HEIJBOER Mathieu78
63 REUS Kai70
78 DUIJN Huub73
79 HRAZDIRA Michal77
81 PATANCHON Fabien69
98 CAZAUX Pierre59