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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 + 32

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