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2022»22nd

Tour de Kumano

(2.2)
2022»Stage 3 (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 * weight + 23

This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
#RiderWeight (KG)
1 EARLE Nathan70
3 KOBAYASHI Marino64
4 MASUDA Nariyuki63
5 TORIBIO José Vicente64
6 QUINTERO Leonel67
7 YAMAMOTO Masaki63
8 DYBALL Benjamin63
9 YOKOYAMA Kota57
10 MANCEBO Francisco64
11 KADOTA Yusuke65
12 ODA Hijiri68
14 YAMAMOTO Genki62
15 KOISHI Yuma62
16 SUZUKI Yuzuru57
17 CAVANAGH Ryan72
18 YAMADA Takumi63
19 ONODERA Rei65
20 OKAMOTO Hayato65
21 ISHIGAMI Masahiro58
22 ASO Keisuke67
23 OKA Atsushi57
25 GARCIA Marcos55
26 MINATO Ryo62
27 SATO Takashi51
30 IRIBE Shotaro61
31 SHIRAKAWA Koki63
33 HATANAKA Yusuke72
34 NISHIO Keito62
35 MAGOSAKI Daiki62
36 IMAMURA Shunsuke75
37 KUBOKI Kazushige68
39 ABE Takayuki66
40 NAKAI Tadaaki62
41 NAKATA Takuya67
43 MUKAIGAWA Naoki64
44 TAKAGI Michinari58