2022
2024
«
»
menu
2023»23rd

Tour de Kumano

(2.2)
2023»Stage 2 (Final)»TaijiTaiji(104.3km)

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 = 0.7 * weight - 26

This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
#RiderWeight (KG)
1 OKA Atsushi57
2 YAMAMOTO Masaki63
3 SAINBAYAR Jambaljamts60
4 NAKAI Tadaaki62
5 TORIBIO José Vicente64
6 PRADES Benjamín56
8 GULD Daniel67
9 ISHIGAMI Masahiro58
10 MANCEBO Francisco64
11 TANI Junsei68
12 EARLE Nathan70
14 YAMADA Takumi63
15 DYBALL Benjamin63
16 ODA Hijiri68
18 BOUGLAS Georgios71
20 ONODERA Rei65
21 LEBAS Thomas65
22 TOKOI Ryota58
23 ARASHIRO Yudai65
24 YAMAMOTO Genki62
26 OKAMOTO Hayato65
27 CAVANAGH Ryan72
29 MOHD ZARIFF Muhammad Nur Aiman63
30 ASO Keisuke67
31 KAMADA Koki58
34 ABE Takayuki66
35 KARIYA Kazutoshi66
36 MEIJERS Jeroen68
37 KIM Euro68
38 NIETO Edgar58