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2019»21st

Tour de Kumano

(2.2)
2019»Stage 3 (Final)»Taiji Taiji (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 = -0.2 * weight + 28

This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
#RiderWeight (KG)
1 ZURLO Federico70
2 MAGOSAKI Daiki62
3 IRIBE Shotaro61
4 HUCKER Robbie68
5 LEBAS Thomas65
6 TORIBIO José Vicente64
7 YOKOYAMA Kota57
8 STACCHIOTTI Riccardo70
9 AULAR Orluis65
10 NAKAI Tadaaki62
11 STRONG Corbin63
12 OKA Atsushi57
13 ONESTI Emanuele71
14 OKAMOTO Hayato65
18 VINK Michael73
19 KOBAYASHI Marino64
20 MANCEBO Francisco64
21 PRADES Benjamín56
22 SUZUKI Yuzuru57
23 SIRIRONNACHAI Sarawut61
24 YAMAMOTO Genki62
25 GARCIA Marcos55
26 ABE Takayuki66
27 SUZUKI Ryu58
28 REGUIGUI Youcef69
30 KIMURA Keisuke61
31 DIMA Emil73
33 GUARDIOLA Salvador65
34 ONODERA Rei65
35 HATANAKA Yusuke72
42 SUMIYOSHI Kota56