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2017»19th

Tour de Kumano

(2.2)
2017»Stage 3 (Final)»Taiji HantoTaiji Hanto(100km)

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 + 58

This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
#RiderWeight (KG)
1 MONIER Damien75
2 ABERASTURI Jon69
3 DOI Yukihiro58
4 IRIBE Shotaro61
5 ISHIBASHI Manabu68
6 GARCÍA Ricardo68
8 NIETO Edgar58
9 ABE Takayuki66
11 OKUBO Jin70
12 SAJNOK Szymon75
13 SUZUKI Ryu58
14 GARCIA Marcos55
15 LEBAS Thomas65
18 PUJOL Óscar58
21 HATANAKA Yusuke72
23 NAKAJIMA Yasuharu64
25 SUZUKI Yuzuru57
26 FELIPE Marcelo58
29 TORIBIO José Vicente64
30 YOKOYAMA Kota57
32 KISHI Takahito69
33 CULEY Marcus69
34 YAMAMOTO Genki62
36 CHAWCHIANGKWANG Peerapol64
37 TAKAGI Michinari58
40 CRAWFORD Jai59
41 PHOUNSAVATH Ariya67
44 TAKUBO Kenji57
45 SIRIRONNACHAI Sarawut61
46 POURHASHEMI Hamid64
47 TANI Junsei68