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Grand Prix of Adygeya

(2.2)
2013»Stage 4»MaikopGuzeripl(148.7km)

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 = 4.1 * weight - 229

This means that on average for every extra kilogram weight a rider loses 4.1 positions in the result.
#RiderWeight (KG)
1 FOLIFOROV Alexander61
6 ARSLANOV Ildar63
8 TATARINOV Gennadiy67
9 ZAKARIN Ilnur67
11 BUTS Vitaliy68
20 SHUSHEMOIN Alexandr62
21 VASYLYUK Andriy65
25 ZEMLYAKOV Oleg70
26 MAMYKIN Matvey62
30 FEDOSSEYEV Artur61.5
35 KATYRIN Roman65
41 VASILYEV Maksym70
43 ZAKARIN Aydar65
45 SEROV Alexander77
46 TANOVIȚCHII Nicolae73
62 LAGKUTI Sergiy68
68 CHIșINăU Carțin Victor70
72 KOSTYUK Denys66
100 STASH Mamyr77
101 EDMÜLLER Benjamin70
117 GALEYEV Vadim68
119 LUCHSHENKO Sergey63
120 GRIGOREV Aleksandr73
121 BOEV Igor74