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2016»103rd

Tour de France

(2.UWT)
2016»Stage 21 (Final)»ChantillyParis(113km)

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 - 29

This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
#RiderWeight (KG)
1 YATES Adam58
2 MEINTJES Louis58
3 BUCHMANN Emanuel59
4 BARGUIL Warren61
5 KELDERMAN Wilco65
6 ALAPHILIPPE Julian62
7 POLANC Jan62
8 SEPÚLVEDA Eduardo59
9 LUTSENKO Alexey74
10 KONRAD Patrick64
11 VALGREN Michael71
12 VAN BAARLE Dylan78
13 GRMAY Tsgabu63
14 STUYVEN Jasper78
15 PIBERNIK Luka60
16 DUCHESNE Antoine75
17 ROOSEN Timo78
18 DURBRIDGE Luke78
19 COQUARD Bryan59
20 VAKOČ Petr68
21 CRADDOCK Lawson69
22 BERHANE Natnael66
23 ENGER Sondre Holst69
24 GOUGEARD Alexis70
25 LAPORTE Christophe76
26 GROENEWEGEN Dylan70
27 HALLER Marco72
28 MCLAY Daniel72