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2014   »   Tour of Kavkaz (2.2)

Stage 1   »   Maykop  ›  Maykop   (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 = 0.7 * weight - 16

This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
# Rider Weight (KG)
1 STASH Mamyr77
2 PAPOK Siarhei76
3 MAIKIN Roman68
5 BOEV Igor74
12 RAMANAU Raman68
19 FIRSANOV Sergey58
21 SEROV Alexander77
22 KOBERNYAK Evgeny59
24 EVTUSHENKO Alexander72
26 VASILYEV Maksym70
29 AHIYEVICH Aleh70
30 KRITSKIY Timofey81
32 ERSHOV Artur70
33 KATYRIN Roman65
34 KURBATOV Alexey73
35 GRIGOREV Aleksandr73
38 TSISHKOU Raman72
39 MAMYKIN Matvey62
45 PIASETSKI Aliaksandr66
47 SAVITSKIY Ivan72
53 STROKAU Vasili74
57 DUBOVSKI Vladzislau75
66 SHEMETAU Mikhail79
72 AKHRAMENKA Yauheni78