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2013   »   Grand Prix of Adygeya (2.2)

Stage 2   »   Maikop  ›  Maikop   (171.4km)
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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 = -0.8 * weight + 102

This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
# Rider Weight (KG)
2 BUTS Vitaliy68
5 BOEV Igor74
9 SEROV Alexander77
10 TATARINOV Gennadiy67
14 VASYLYUK Andriy65
15 KOSTYUK Denys66
17 SHUSHEMOIN Alexandr62
18 ZAKARIN Ilnur67
19 ARSLANOV Ildar63
22 LAGKUTI Sergiy68
32 TANOVIȚCHII Nicolae73
39 LUCHSHENKO Sergey63
41 KATYRIN Roman65
53 STASH Mamyr77
55 ZEMLYAKOV Oleg70
68 EDMÜLLER Benjamin70
71 GALEYEV Vadim68
72 ZAKARIN Aydar65
73 FOLIFOROV Alexander61
77 VASILYEV Maksym70
84 CHIșINăU Carțin Victor70
95 FEDOSSEYEV Artur61.5
111 MAMYKIN Matvey62
118 GRIGOREV Aleksandr73