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Grand Prix of Adygeya

(2.2)
2014»Stage 5 (Final)»MaykopMaykop(108km)

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 = -0.3 * weight + 63

This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
#RiderWeight (KG)
1 BOEV Igor74
2 BUTS Vitaliy68
3 NIKOLAEV Sergey66
4 VASILYEV Maksym70
11 EDMÜLLER Benjamin70
15 LUCHSHENKO Sergey63
16 KRIVTSOV Dmytro72
19 ZHURKIN Nikolay77
20 RAMANAU Raman68
22 ERSHOV Artur70
25 LAGUTIN Sergey68
26 VASYLYUK Andriy65
32 JABRAYILOV Samir52
36 FIRSANOV Sergey58
39 ZAKARIN Ilnur67
42 LAGKUTI Sergiy68
48 ZEMLYAKOV Oleg70
49 BUDYAK Anatoliy53
56 CHIșINăU Carțin Victor70
63 ZUBOV Matvey72
71 SHUMOV Nikolai65
77 SHUSHEMOIN Alexandr62
82 FOLIFOROV Alexander61
83 MAMYKIN Matvey62
87 KLIMOV Sergey69
89 KVACHUK Oleksandr68
92 SHEMETAU Mikhail79
102 AHIYEVICH Aleh70