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2014»29th

Tour de Beauce

(2.2)
2014»Stage 1»Sainte-JustineSainte-Justine(196km)

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 + 51

This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
#RiderWeight (KG)
3 KRAGH ANDERSEN Asbjørn72
4 VERSCHOOR Martijn74.5
5 KOCJAN Jure72
9 MEGÍAS Javier63
10 PASSERON Aurélien73
11 RATHE Jacob74
12 VASILYEV Maksym70
13 PLANET Charles71
14 MANNION Gavin58
16 SCHUMACHER Stefan71
18 TANNER Jake76
19 SKUJIŅŠ Toms70
21 TERUEL Eloy73
22 BUDYAK Anatoliy53
23 SMITH Dion67
25 JONES Carter64
26 BOGDANOVIČS Māris68
28 DAL-CIN Matteo77
29 ROTH Ryan70
31 HENTTALA Joonas73
34 BICHLMANN Daniel72
35 JENKINS Max63
36 SUAREZ Camilo Andres67
37 LACHANCE Jean-Michel72
38 BEYER Chad63
41 ȚVETCOV Serghei69
50 VINK Michael73
52 ROSSKOPF Joey74
53 ROE Timothy66
54 CARLSEN Kirk68
58 WOODS Michael62
63 ORJUELA Fernando60
68 LEFRANCOIS Nicolas82
69 DI BATTISTA Antonio68
71 LOZANO David63
76 SELANDER Bjorn72
84 LLOYD Matthew62
95 PICCOLI James65
107 FORKE Sebastian78