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2023»26th

Tour of Japan

(2.1)
2023»Stage 4»MinoMino(137.3km)

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 + 90

This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
#RiderWeight (KG)
1 LAMPERTI Luke74
2 KUBOKI Kazushige68
3 MEIJERS Jeroen68
4 BOUGLAS Georgios71
5 OKAMOTO Hayato65
6 MAGOSAKI Daiki62
7 YOKOYAMA Kota57
8 PIDCOCK Joseph57
10 ONODERA Rei65
11 HARASIM Mihnea-Alexandru72
12 ODA Hijiri68
14 OKA Atsushi58
15 KOYAMA Tomoya68
16 PRADES Benjamín56
18 MOHD ZARIFF Muhammad Nur Aiman63
20 YAMAMOTO Masaki63
21 EARLE Nathan70
22 ISHIHARA Yuki53
23 QUINTERO Leonel67
24 FITZWATER Matias67
25 KUROEDA Saya57
27 DYBALL Benjamin63
28 LEBAS Thomas65
29 SAINBAYAR Jambaljamts60
30 JOHNSTON Liam75
31 MANCEBO Francisco64
32 IMAMURA Shunsuke75
33 KARIYA Kazutoshi66
37 HASHIKAWA Jo57
40 BUDYAK Anatoliy53
41 ALIYEV Ruslan67
42 TORIBIO José Vicente64
44 SCHUNK Conor65
45 ASO Keisuke67
47 KOISHI Yuma62
48 AMANO Takeharu58
49 TANI Junsei64
50 DIMA Emil73
51 ISHIGAMI Masahiro58
53 ORMISTON Callum67
54 SUMIYOSHI Kota56
55 SUZUKI Yuzuru57
56 EYOB Metkel61
58 REMKHI Rudolf60
59 CAVANAGH Ryan72
60 YAMADA Takumi63
62 HONDA Haruhi65
64 NISHIO Keito62
65 NARUMI Soh63
67 ÖZGÜR Batuhan75
68 ŞAMPIYONBISIKLET Mehmet70
71 IRIBE Shotaro61
72 YASUHARA Daiki62
74 YAMAMOTO Genki62
77 KUBOTA Yusuke53
78 ISHIBASHI Manabu68
80 FENG Chun Kai68
82 DI CAMILLO Lorenzo59
84 NAKAI Tadaaki62
85 HORI Takaaki56
86 NIETO Edgar58
87 KOBAYASHI Marino64
89 ABE Takayuki66