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2022»25th

Tour of Japan

(2.2)
2022»Stage 4 (Final)»TokyoTokyo(112km)

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 = -0.9 * weight + 85

This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
#RiderWeight (KG)
1 EARLE Nathan70
2 DYBALL Benjamin63
3 LEBAS Thomas65
4 MASUDA Nariyuki61
5 KOBAYASHI Marino64
6 MANCEBO Francisco64
7 CAVANAGH Ryan72
8 YAMAMOTO Masaki63
10 YAMAMOTO Genki62
11 KOISHI Yuma62
13 ISHIBASHI Manabu68
14 TORIBIO José Vicente64
15 NISHIO Hayato58
18 NISHIO Keito62
19 KAZAMA Shoma61
20 ISHIGAMI Masahiro58
21 QUINTERO Leonel67
23 KADOTA Yusuke65
24 ASO Keisuke67
25 ONODERA Rei65
26 ODA Hijiri68
28 ARASHIRO Yudai65
29 AMANO Takeharu58
30 INOUE Fuminari57
32 OKA Atsushi57
33 OKAMOTO Hayato65
34 KARIYA Kazutoshi66
36 YOKOYAMA Kota57
37 SUZUKI Yuzuru57
40 NAKAI Tadaaki62
42 IRIBE Shotaro61
45 IMAMURA Shunsuke75
47 YASUHARA Daiki62
51 TOKUDA Suguru65
54 MAGOSAKI Daiki62
56 YAMADA Takumi63
57 KREDER Raymond70
58 KUBOTA Yusuke53
61 KANEKO Daisuke58
67 ABE Takayuki66
68 KUROEDA Saya57