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2009»11th

Tour De Kumano

(2.2)
2009»Stage 4 (Final)»TaijiTaiji(105.6km)

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 - 7

This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
#RiderWeight (KG)
1 IGLINSKIY Valentin68
2 SUZUKI Shinri60
3 FOFONOV Dmitriy65
9 SUZUKI Yuzuru57
10 MIZUROV Andrey68
11 SANO Junya76
16 KAZEMI Sarai Ahad71
18 NISHITANI Taiji62
19 ABE Takayuki66
22 TANG Wang Yip62
24 SHUSHEMOIN Alexandr62
29 SOHRABI Mehdi69
32 HATANAKA Yusuke72
39 TSUJI Yoshimitsu62
44 KOSAKA Hikaru62
45 WESTPHAL Carlo75