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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 = -0.4 * weight + 43

This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
#RiderWeight (KG)
1 YAMAMOTO Genki62
2 LEBAS Thomas65
3 BOUGLAS Georgios71
5 CAVANAGH Ryan72
6 SAINBAYAR Jambaljamts60
8 OKAMOTO Hayato65
9 ISHIGAMI Masahiro58
10 MANCEBO Francisco64
11 ONODERA Rei65
12 TORIBIO José Vicente64
13 NAKAI Tadaaki62
14 GULD Daniel67
16 ODA Hijiri68
17 TANI Junsei68
19 DYBALL Benjamin63
20 YAMADA Takumi63
21 OKA Atsushi57
22 ARASHIRO Yudai65
23 KARIYA Kazutoshi66
24 PRADES Benjamín56
25 EARLE Nathan70
27 KAMADA Koki58
30 YAMAMOTO Masaki63
31 MOHD ZARIFF Muhammad Nur Aiman63
33 TOKOI Ryota58
34 ASO Keisuke67
35 ABE Takayuki66
36 MEIJERS Jeroen68
37 KIM Euro68
38 NIETO Edgar58