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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 + 19

This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
# Rider Weight (KG)
1 VOROBYEV Anton74
2 CHERNETSKI Sergei63
3 OVECHKIN Artem61
4 SHILOV Sergey67
5 KRITSKIY Timofey81
7 KOCHETKOV Pavel70
8 ERSHOV Artur70
10 BELKOV Maxim71
11 BRUTT Pavel70
12 ZAKARIN Ilnur67
13 GUSEV Vladimir67
14 KUZNETSOV Viacheslav70
15 VORGANOV Eduard65
16 SEROV Alexander77
19 IGNATIEV Mikhail67
20 NIKOLAEV Sergey66
25 ARGUELYES Arkimedes66
28 KOZONTCHUK Dmitry75
30 KATYRIN Roman65