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2000»23rd

Ronde de l'Isard

(2.7.1)
2000»Stage 4»AspetAspet(99.5km)

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 = 0.2 * weight + 14

This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
#RiderWeight (KG)
2 SCHRÖDER Björn64
6 DION Renaud65
7 WIELINGA Remmert68
8 PINEAU Jérôme65
10 ZABRISKIE David67
12 SIJMENS Nico69
13 PORTAL Nicolas70
15 CALZATI Sylvain68
17 GASPARRE Graziano60
21 SINKEWITZ Patrik63
23 WEENING Pieter68
24 VOECKLER Thomas71
25 ENGOULVENT Jimmy82
27 BOUCHER David78
29 BUFFAZ Mickaël64
32 LELAY David67
35 TEN DAM Laurens67
37 VANSUMMEREN Johan79
38 EDALEINE Christophe62
39 HARY Maryan68
42 INAUDI Nicolas67
51 WEGMANN Fabian60
56 PIETROPOLLI Daniele61
59 COUTOULY Cédric72
66 BAUMANN Eric72
69 CHARPENTEAU Yohann68