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2022»25th

Tour of Japan

(2.2)
2022»Stage 3»SagamiharaSagamihara(107.7km)

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 = -0.6 * weight + 71

This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
#RiderWeight (KG)
1 OKA Atsushi57
2 QUINTERO Leonel67
4 TORIBIO José Vicente64
5 CAVANAGH Ryan72
6 YOKOYAMA Kota57
10 MANCEBO Francisco64
13 YAMAMOTO Genki62
15 SUZUKI Yuzuru57
17 AMANO Takeharu58
18 IMAMURA Shunsuke75
19 KOBAYASHI Marino64
20 EARLE Nathan70
22 OKAMOTO Hayato65
26 ASO Keisuke67
27 KARIYA Kazutoshi66
28 ONODERA Rei65
30 NAKAI Tadaaki62
32 YAMAMOTO Masaki63
33 LEBAS Thomas65
35 KADOTA Yusuke65
36 KANEKO Daisuke58
37 ISHIGAMI Masahiro58
39 KAZAMA Shoma61
41 MAGOSAKI Daiki62
42 MASUDA Nariyuki61
43 IRIBE Shotaro61
45 DYBALL Benjamin63
50 NISHIO Keito62
51 NISHIO Hayato58
52 KOISHI Yuma62
54 ODA Hijiri68
55 ISHIBASHI Manabu68
57 INOUE Fuminari57
58 YASUHARA Daiki62
60 YAMADA Takumi63
62 TOKUDA Suguru65
64 ARASHIRO Yudai65
65 KUBOTA Yusuke53
67 KREDER Raymond70
68 ABE Takayuki66
69 KUROEDA Saya57