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2005»46th

Tour du Loir et Cher E Provost

(2.2)
2005»Stage 4»La-Chaussée-Saint-VictorSalbris(163km)

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 = -0.7 * weight + 84

This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
#RiderWeight (KG)
1 DEKKERS Hans72
4 LADAGNOUS Matthieu73
5 REIHS Michael75
9 DRUJON Mathieu75
10 STREEL Marc69
12 ROELANDTS Jürgen78
14 ROUSSEAU Nicolas70
15 DIDIER Laurent68
16 VANHEULE Bart76
17 DE MAAR Marc70
21 VEELERS Tom75
22 BOŽIČ Borut70
23 STAMSNIJDER Tom76
25 HEIJBOER Mathieu78
32 SCHETS Steve74
34 CAZAUX Pierre59
36 PATANCHON Fabien69
37 LEBAS Thomas65
39 GOESINNEN Floris75
41 IMPEY Daryl72
43 HRAZDIRA Michal77
49 WAGNER Robert75
50 DUIJN Huub73
51 REUS Kai70
56 MARIN Matej67
66 HUGUET Yann66
68 DE WILDE Sjef74
77 DEHAES Kenny73
79 FLAHAUT Denis66
81 SCHILLINGER Andreas72
83 CORNU Dominique78