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2014»37th

Ronde de l'Isard

(2.2U)
2014»Stage 1»St-GironsGoulier-Neige(160.5km)

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 = 1.6 * weight - 65

This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
#RiderWeight (KG)
1 FOLIFOROV Alexander61
2 ROSÓN Jaime62
3 VERVAEKE Louis68
5 ARSLANOV Ildar63
7 SUAZA Bernardo66
8 BENOOT Tiesj72
10 CHETOUT Loïc70
12 PACHER Quentin62
13 LATOUR Pierre66
16 CALMEJANE Lilian70
17 OSORIO Juan Felipe65
19 LE TURNIER Mathias65
20 BIDARD François65
22 OCHOA Diego Antonio61
32 RUYTERS Brecht69
33 VINJEBO Emil Mielke67
37 LISSON Christoffer73
38 AGUIRRE Hernán Ricardo55
40 GOUBERT Jean61
41 SCHULTZ Nick68
43 EVERSDIJK Matthijs67.5
44 CAICEDO Jonathan Klever62
45 DUMOURIER Florian60
47 LEPLINGARD Antoine68
51 OWEN Logan67
53 VELASCO Henry58
55 DE PLUS Laurens67
56 VAN GOMPEL Mathias70
62 THEVENOT Guillaume69
65 OIEN Justin68
67 SELLIER Simon68
68 GOOLAERTS Michael80
75 CONSTANTIN Baptiste66
81 IRISARRI Jon66
83 STASH Mamyr77
85 GARCÍA CORTINA Iván77
93 GONZÁLEZ Óscar62.5