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2016»18th

Tour de Kumano

(2.2)
2016»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 = -0.8 * weight + 72

This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
#RiderWeight (KG)
1 OKUBO Jin70
3 KIMURA Keisuke61
4 ABERASTURI Jon69
5 LEBAS Thomas65
6 UCHIMA Kohei63
7 IRIBE Shotaro61
8 TORIBIO José Vicente64
10 PRADES Benjamín56
11 PUJOL Óscar58
12 MONIER Damien75
13 ABE Takayuki66
14 CRAWFORD Jai59
16 GUARDIOLA Salvador65
17 HATSUYAMA Sho59
19 GARCIA Marcos55
21 SANO Junya76
22 SULZBERGER Wesley65
23 NISHIMURA Hiroki59
24 SUZUKI Ryu58
25 TSUBAKI Hiroshi62
26 DOI Yukihiro58
27 GARCÍA Ricardo68
30 NAKANISHI Kenji60
32 AMEZAWA Takeaki60
33 HORI Takaaki56
34 TAKAGI Michinari58
35 KOYAMA Takahiro58
36 AMAGOI Tatsuki62
41 SUMIYOSHI Kota56
42 IINO Tomoyuki61