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2017»104th

Tour de France

(2.UWT)
2017»Stage 21 (Final)»MontgeronParis(105km)

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 = 0.5 * weight - 23

This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
#RiderWeight (KG)
1 YATES Simon58
2 MEINTJES Louis58
3 BUCHMANN Emanuel59
4 BENOOT Tiesj72
5 MARTIN Guillaume55
6 LATOUR Pierre66
7 CALMEJANE Lilian70
8 VALGREN Michael71
9 LUTSENKO Alexey74
10 VAN BAARLE Dylan78
11 KÜNG Stefan83
12 GESBERT Élie63
13 HOWSON Damien68
14 BETTIOL Alberto69
15 KOZHATAYEV Bakhtiyar62
16 MCCARTHY Jay63
17 POLITT Nils80
18 SÜTTERLIN Jasha78
19 SMITH Dion67
20 TEUNISSEN Mike73
21 LAPORTE Christophe76
22 BOUDAT Thomas70
23 ZABEL Rick81
24 GOGL Michael71
25 GROENEWEGEN Dylan70
26 LE GAC Olivier70
27 SÉNÉCHAL Florian77