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2013»39th

Grand Prix of Sochi

(2.2)
2013»Stage 5 (Final)»TuapseKrasnodar(178km)

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 = -0.4 * weight + 52

This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
#RiderWeight (KG)
1 BUTS Vitaliy68
5 VASYLYUK Andriy65
9 BOUGLAS Georgios71
10 NIKOLAEV Sergey66
11 TATARINOV Gennadiy67
16 ARSLANOV Ildar63
17 GRADEK Kamil83
18 SEROV Alexander77
19 KRIVTSOV Dmytro72
20 ERSHOV Artur70
24 GOTTFRIED Alexander60
26 BOGDANOVIČS Māris68
28 BERNAS Paweł77
34 JANORSCHKE Grischa78
36 SAPA Marcin82
47 AHIYEVICH Aleh70
51 KATYRIN Roman65
56 ZEMLYAKOV Oleg70
88 MAMYKIN Matvey62