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2014»16th

Tour de Kumano

(2.2)
2014»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 = 0.1 * weight + 22

This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
#RiderWeight (KG)
1 MANCEBO Francisco64
2 TORIBIO José Vicente64
4 NAKANE Hideto55
6 NORRIS Lachlan67
7 CRAWFORD Jai59
8 LEBAS Thomas65
9 GARCÍA Ricardo68
10 MASUDA Nariyuki63
11 PRADES Benjamín56
13 MONIER Damien75
15 HATANAKA Yusuke72
17 SUZUKI Yuzuru57
18 SANO Junya76
19 CHTIOUI Rafaâ82
26 SHIMIZU Miyataka60
27 YAMAMOTO Shun56
29 TOKUDA Suguru65
32 WIPPERT Wouter75
33 CLARKE Will81
34 IRIBE Shotaro61
36 KERBY Jordan71
38 SUZUKI Shinri60
39 PUJOL Óscar58
43 KOISHI Yuma62
46 MUKAIGAWA Naoki64
49 HAEDO Lucas Sebastián64
51 TSUBAKI Hiroshi62
52 ABE Takayuki66
56 ASO Keisuke67