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Grand Prix of Adygeya

(2.2)
2012»Stage 3»MaykopMaykop(157km)

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 = 3.2 * weight - 179

This means that on average for every extra kilogram weight a rider loses 3.2 positions in the result.
#RiderWeight (KG)
1 MIRONOV Alexander68
3 VASYLYUK Andriy65
6 NIKOLAEV Sergey66
10 GALEYEV Vadim68
20 FIRSANOV Sergey58
22 ZAKARIN Ilnur67
23 KOCHETKOV Pavel70
25 OVECHKIN Artem61
30 KOZHATAYEV Bakhtiyar62
36 ROVNY Ivan62
37 RYBAKOV Alexander65
46 KONDRUT Vitaliy79
59 EVTUSHENKO Alexander72
73 BIZHIGITOV Zhandos76
87 MANAKOV Victor77
89 STASH Mamyr77
94 ZEMLYAKOV Oleg70