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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 = 0.3 * weight + 4

This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
#RiderWeight (KG)
1 PUJOL Óscar58
2 PRADES Benjamín56
3 LEBAS Thomas65
4 TORIBIO José Vicente64
6 CRAWFORD Jai59
8 UCHIMA Kohei63
9 IRIBE Shotaro61
10 GARCIA Marcos55
12 GARCÍA Ricardo68
13 KIMURA Keisuke61
14 GUARDIOLA Salvador65
15 HATSUYAMA Sho59
16 SUZUKI Ryu58
17 SANO Junya76
19 TSUBAKI Hiroshi62
22 HORI Takaaki56
23 KOYAMA Takahiro58
24 IINO Tomoyuki61
25 SULZBERGER Wesley65
27 ABERASTURI Jon69
28 AMEZAWA Takeaki60
29 MONIER Damien75
30 NISHIMURA Hiroki59
31 DOI Yukihiro58
32 TAKAGI Michinari58
33 OKUBO Jin70
35 SUMIYOSHI Kota56
40 NAKANISHI Kenji60
42 AMAGOI Tatsuki62
43 ABE Takayuki66