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2016   »   28th Tour de Okinawa (1.2)

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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 + 55

This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
# Rider Weight (KG)
1 MASUDA Nariyuki63
2 CRAWFORD Jai59
3 UCHIMA Kohei63
4 PRADES Benjamín56
5 MINATO Ryo62
6 AMEZAWA Takeaki60
9 HATANAKA Yusuke72
10 IRIBE Shotaro61
11 ONODERA Rei65
12 SUZUKI Ryu58
13 ARASHIRO Yudai65
14 YOKOYAMA Kota57
16 OKAMOTO Hayato65
18 HIRAI Eiichi63
19 SAI-UDOMSIN Phuchong60
20 TORIBIO José Vicente64
24 YASUHARA Daiki62
25 KERS Koos Jeroen71
26 HATSUYAMA Sho59
27 ISHIGAMI Masahiro58
28 GARCIA Marcos55
29 GARCÍA Ricardo68
31 DOETS Marco73
32 FENG Chun Kai68
34 SUZUKI Yuzuru57
35 CHAWCHIANGKWANG Peerapol64
36 LIPHONGYU Navuti61
37 NAKAJIMA Yasuharu64
38 KIMURA Keisuke61
40 NAKANE Hideto55
44 SUMIYOSHI Kota56
50 KUROEDA Saya57
52 TAKAGI Michinari58
53 IINO Tomoyuki61