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Grand Prix of Adygeya

(2.2)
2013»Stage 3»MaikopMaikop(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 = -2.7 * weight + 237

This means that on average for every extra kilogram weight a rider loses -2.7 positions in the result.
#RiderWeight (KG)
1 BUTS Vitaliy68
4 BOEV Igor74
5 VASYLYUK Andriy65
10 TATARINOV Gennadiy67
12 STASH Mamyr77
13 GALEYEV Vadim68
17 GRIGOREV Aleksandr73
24 KOSTYUK Denys66
25 VASILYEV Maksym70
32 LUCHSHENKO Sergey63
51 CHIșINăU Carțin Victor70
61 ARSLANOV Ildar63
63 SEROV Alexander77
69 ZEMLYAKOV Oleg70
70 LAGKUTI Sergiy68
72 ZAKARIN Aydar65
73 ZAKARIN Ilnur67
85 KATYRIN Roman65
88 FOLIFOROV Alexander61
94 SHUSHEMOIN Alexandr62
105 FEDOSSEYEV Artur61.5
109 MAMYKIN Matvey62
112 TANOVIȚCHII Nicolae73
120 EDMÜLLER Benjamin70