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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 = -0.1 * weight + 50

This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
# Rider Weight (KG)
1 ZAKARIN Ilnur67
5 ARSLANOV Ildar63
6 VASYLYUK Andriy65
8 TATARINOV Gennadiy67
9 SEROV Alexander77
10 BUTS Vitaliy68
11 KOSTYUK Denys66
12 SHUSHEMOIN Alexandr62
13 LAGKUTI Sergiy68
24 BOEV Igor74
34 TANOVIȚCHII Nicolae73
43 KATYRIN Roman65
51 LUCHSHENKO Sergey63
53 STASH Mamyr77
54 FOLIFOROV Alexander61
57 ZAKARIN Aydar65
58 ZEMLYAKOV Oleg70
60 VASILYEV Maksym70
63 EDMÜLLER Benjamin70
72 GALEYEV Vadim68
84 FEDOSSEYEV Artur61.5
90 GRIGOREV Aleksandr73
92 CHIșINăU Carțin Victor70
96 MAMYKIN Matvey62