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2014»40th

Grand Prix of Sochi

(2.2)
2014»Stage 3 (ITT)»AnapaAnapa(22km)

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 = -1.4 * weight + 136

This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
#RiderWeight (KG)
1 EVTUSHENKO Alexander72
2 ZAKARIN Ilnur67
4 KRITSKIY Timofey81
7 LAGUTIN Sergey68
9 LAGKUTI Sergiy68
14 BUTS Vitaliy68
18 AHIYEVICH Aleh70
23 ASADOV Elchin77
24 BOEV Igor74
25 SOLOMENNIKOV Andrei72
28 KOMIN Aleksandr63
33 SHEMETAU Mikhail79
34 ZEMLYAKOV Oleg70
35 ZUBOV Matvey72
39 MAIKIN Roman68
46 GOGL Michael71
47 GAZVODA Gregor72
51 NIKOLAEV Sergey66
52 RAMANAU Raman68
56 JABRAYILOV Samir52
62 VASILYEV Maksym70
74 EDMÜLLER Benjamin70
83 BOGDANOVIČS Māris68
90 BUDYAK Anatoliy53
109 BAŠKA Erik74