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Grand Prix of Adygeya

(2.2)
2014»Stage 2»MaykopMaykop(171.4km)

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 = -1 * weight + 108

This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
#RiderWeight (KG)
1 BOEV Igor74
2 BUTS Vitaliy68
3 LAGUTIN Sergey68
4 LAGKUTI Sergiy68
6 VASYLYUK Andriy65
8 KRIVTSOV Dmytro72
9 ZAKARIN Ilnur67
11 ERSHOV Artur70
12 KLIMOV Sergey69
16 SHUMOV Nikolai65
17 ZUBOV Matvey72
21 NIKOLAEV Sergey66
22 ZEMLYAKOV Oleg70
24 FIRSANOV Sergey58
31 RAMANAU Raman68
33 ZHURKIN Nikolay77
35 EDMÜLLER Benjamin70
36 VASILYEV Maksym70
41 KVACHUK Oleksandr68
45 JABRAYILOV Samir52
56 KOMIN Aleksandr63
57 BUDYAK Anatoliy53
60 ARSLANOV Ildar63
70 AHIYEVICH Aleh70
79 AKHRAMENKA Yauheni78
80 CHIșINăU Carțin Victor70
85 MAMYKIN Matvey62
94 SHEMETAU Mikhail79
104 FOLIFOROV Alexander61
106 SHUSHEMOIN Alexandr62
128 LUCHSHENKO Sergey63