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2022   »   32nd 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 = -0.4 * weight + 48

This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
# Rider Weight (KG)
1 PRADES Benjamín56
2 YAMAMOTO Genki62
3 TORIBIO José Vicente64
4 NISHIO Hayato58
5 MAGOSAKI Daiki62
6 ABE Takayuki66
8 SAWADA Toki62
9 ASO Keisuke67
10 KAZAMA Shoma61
11 HANADA Kiyomasa56
14 NAKAMURA Kaito58
16 MINATO Ryo62
17 ARASHIRO Yudai65
19 ISHIBASHI Manabu68
20 KUBOTA Yusuke53
21 NAKASHIMA Masato59
23 ONODERA Rei65
25 YOKOTSUKA Kohei70
26 NAKAI Tadaaki62
28 HATANAKA Yusuke72
29 WATANABE Shotaro65
30 AMANO Takeharu58
31 TAKEYAMA Kosuke56
34 SHIGEMITSU Jo62
39 SHINKAI Ryuji64
40 TOKUDA Suguru65
41 ABE Kodai60
42 FUJITA Ryohei58
43 TAKAGI Michinari58
45 YASUHARA Daiki62
46 MUKAIGAWA Naoki64
49 HORI Takaaki56
51 KUROEDA Saya57
52 NAKAMURA Keisuke60
54 KOISHI Yuma62