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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 = 2.3 * weight - 116

This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
# Rider Weight (KG)
1 VASYLYUK Andriy65
3 ZAKARIN Ilnur67
6 FIRSANOV Sergey58
7 KOSTYUK Denys66
8 DE LA PARTE Víctor64
9 NIKOLAEV Sergey66
10 KLIMOV Sergey69
11 ZUBOV Matvey72
12 LAGKUTI Sergiy68
15 RAMANAU Raman68
17 RYBAKOV Alexander65
18 BUTS Vitaliy68
19 KOCHETKOV Pavel70
23 SAMOILAU Branislau77
28 AHIYEVICH Aleh70
31 BOUGLAS Georgios71
40 SHEMETAU Mikhail79
41 MUZYCHKIN Anton76
49 SHUSHEMOIN Alexandr62
51 JANORSCHKE Grischa78
60 JURČO Matej69
71 BOGDANOVIČS Māris68
74 CREMERS Ruud76
85 MAHĎAR Martin61
89 DILLEY Benjamin72
94 GALEYEV Vadim68
98 BRONIŠ Roman74
108 ZEMLYAKOV Oleg70
116 DE KEIJZER Gerd72.6
129 TYBOR Patrik72