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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 = -0.8 * weight + 73

This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
#RiderWeight (KG)
1 QUINTERO Leonel67
2 OKA Atsushi57
3 KREDER Raymond70
4 TORIBIO José Vicente64
5 EARLE Nathan70
7 DYBALL Benjamin63
9 ODA Hijiri68
10 KUROEDA Saya57
11 CAVANAGH Ryan72
12 MASUDA Nariyuki61
14 LEBAS Thomas65
15 MANCEBO Francisco64
16 YAMAMOTO Masaki63
17 ONODERA Rei65
18 KADOTA Yusuke65
19 IMAMURA Shunsuke75
21 YOKOYAMA Kota57
22 YAMAMOTO Genki62
26 KOISHI Yuma62
29 MAGOSAKI Daiki62
30 SUZUKI Yuzuru57
31 ISHIGAMI Masahiro58
32 KOBAYASHI Marino64
34 ISHIBASHI Manabu68
35 OKAMOTO Hayato65
36 YASUHARA Daiki62
38 KAZAMA Shoma61
40 NISHIO Hayato58
42 NISHIO Keito62