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2012»14th

Tour de Kumano

(2.2)
2012»Stage 3 (Final)»TaijiTaiji(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 + 25

This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
#RiderWeight (KG)
2 NISHITANI Taiji62
3 RICHEZE Maximiliano68
6 AVERIN Maksym74
8 SUZUKI Shinri60
10 SHIMIZU Miyataka60
11 KUBOKI Kazushige68
12 WONG Kam-Po65
13 FUKUSHIMA Shinichi62
14 CHEUNG King Lok59
15 FLAKEMORE Campbell72
16 BALIANI Fortunato66
19 SUZUKI Yuzuru57
20 SANO Junya76
22 HATSUYAMA Sho59
23 MUKAIGAWA Naoki64
24 LEBAS Thomas65
26 SONNERY Blaise60
29 MASUDA Nariyuki63
30 IINO Tomoyuki61
33 ARREDONDO Julián David58
35 EARLE Nathan70
39 UCHIMA Kohei63
44 FUKUDA Shinpei70