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2014»40th

Grand Prix of Sochi

(2.2)
2014»Stage 2»AnapaAnapa(128.4km)

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 + 28

This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
#RiderWeight (KG)
1 MAIKIN Roman68
2 BOEV Igor74
3 BUTS Vitaliy68
7 GOGL Michael71
10 LAGUTIN Sergey68
11 KRITSKIY Timofey81
12 SOLOMENNIKOV Andrei72
13 ZUBOV Matvey72
14 ZAKARIN Ilnur67
15 BAŠKA Erik74
16 EDMÜLLER Benjamin70
17 LAGKUTI Sergiy68
20 VASILYEV Maksym70
22 JABRAYILOV Samir52
23 BUDYAK Anatoliy53
27 AHIYEVICH Aleh70
29 ASADOV Elchin77
33 ZEMLYAKOV Oleg70
46 KOMIN Aleksandr63
60 BOGDANOVIČS Māris68
69 SHEMETAU Mikhail79
70 RAMANAU Raman68
85 EVTUSHENKO Alexander72
98 GAZVODA Gregor72
112 NIKOLAEV Sergey66