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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 = 0.5 * weight - 6

This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
#RiderWeight (KG)
1 TORIBIO José Vicente64
2 PUJOL Óscar58
3 GARCIA Marcos55
7 YAMAMOTO Genki62
8 LEBAS Thomas65
10 CHAWCHIANGKWANG Peerapol64
14 GARCÍA Ricardo68
15 SUZUKI Yuzuru57
16 CRAWFORD Jai59
17 CULEY Marcus69
19 PHOUNSAVATH Ariya67
20 TAKUBO Kenji57
21 POURHASHEMI Hamid64
24 MONIER Damien75
25 FELIPE Marcelo58
27 SUZUKI Ryu58
28 OKUBO Jin70
29 NIETO Edgar58
30 ABERASTURI Jon69
32 HATANAKA Yusuke72
33 DOI Yukihiro58
34 KISHI Takahito69
35 TAKAGI Michinari58
36 NAKAJIMA Yasuharu64
37 SAJNOK Szymon75
39 ABE Takayuki66
40 IRIBE Shotaro61
41 TANI Junsei68
42 YOKOYAMA Kota57
46 SIRIRONNACHAI Sarawut61
47 ISHIBASHI Manabu68