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2013»16th

Tour of Japan

(2.1)
2013»Prologue»SakaiSakai(2.65km)

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 = -1.8 * weight + 155

This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
#RiderWeight (KG)
1 NISHITANI Taiji62
2 SEO Joon Yong66
5 UCHIMA Kohei63
7 PALINI Andrea67
8 OJAVEE Mart80
9 RICHEZE Maximiliano68
11 FAVILLI Elia61
12 LAPTHORNE Darren70
14 POZZO Mattia68
15 VIGANÒ Davide67
16 HUCKER Robbie68
18 NAKANE Hideto55
20 KUBOKI Kazushige68
21 PARK Sung Baek73
22 ARREDONDO Julián David58
24 EARLE Nathan70
26 FUKUDA Shinpei70
33 SULZBERGER Bernard67
34 DOI Yukihiro58
36 DE NEGRI Pier Paolo61
37 BALIANI Fortunato66
38 LEWIS Craig65
40 OKUBO Jin70
41 HATANAKA Yusuke72
42 HATSUYAMA Sho59
43 JANG Chan Jae64
44 ABE Takayuki66
45 DYBALL Benjamin63
46 GRAZIATO Massimo73
47 MONIER Damien75
48 IRIBE Shotaro61
49 WACKERMANN Luca68
50 FUKUSHIMA Shinichi62
53 MILETTA Luigi63
55 LEBAS Thomas65
56 MERLO Michele63
59 CRAWFORD Jai59
63 SHIMIZU Miyataka60
66 NISHIMURA Hiroki59
67 GOESINNEN Floris75
69 YAMAMOTO Shun56
71 IINO Tomoyuki61
72 HORI Takaaki56
81 TANG Wang Yip62
82 KIMURA Keisuke61
87 YASUHARA Daiki62
90 SAI-UDOMSIN Phuchong60
91 GOH Choon Huat54