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2000»23rd

Ronde de l'Isard

(2.7.1)
2000»Prologue»Saint-GironsSaint-Girons(2.8km)

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 = -0.6 * weight + 77

This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
#RiderWeight (KG)
2 KRUPA Dawid74
3 VANSUMMEREN Johan79
4 ENGOULVENT Jimmy82
5 ZABRISKIE David67
6 WIELINGA Remmert68
7 GASPARRE Graziano60
8 SINKEWITZ Patrik63
11 SCHRÖDER Björn64
13 PINEAU Jérôme65
17 DION Renaud65
24 LELAY David67
30 SIJMENS Nico69
32 EDALEINE Christophe62
34 PIETROPOLLI Daniele61
36 CALZATI Sylvain68
37 BAUMANN Eric72
43 TEN DAM Laurens67
45 BOUCHER David78
48 VOECKLER Thomas71
49 WEENING Pieter68
50 CHARPENTEAU Yohann68
51 HARY Maryan68
53 PORTAL Nicolas70
63 INAUDI Nicolas67
71 BUFFAZ Mickaël64
79 WEGMANN Fabian60
81 COUTOULY Cédric72