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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 = -1.5 * weight + 158

This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
# Rider Weight (KG)
1 PAPOK Siarhei76
2 SAVITSKIY Ivan72
3 ZHYHUNOU Dzmitry72
4 STASH Mamyr77
5 MAIKIN Roman68
6 RAMANAU Raman68
9 KRITSKIY Timofey81
11 GIDICH Yevgeniy69
14 STEVIĆ Ivan66
15 VASILYEV Maksym70
22 MUZYCHKIN Anton76
25 KURBATOV Alexey73
41 AKHRAMENKA Yauheni78
42 MANAKOV Victor77
43 KARALIOK Yauheni75
45 KUSCHYNSKI Aleksandr65
46 KURIANOV Stepan74
47 PIASETSKI Aliaksandr66
50 BĒCIS Armands82
52 NIKOLAEV Sergey66
54 STROKAU Vasili74
57 VASYLYUK Andriy65
58 LIEPIŅŠ Emīls67
59 DUBOVSKI Vladzislau75
61 SHEMETAU Mikhail79
63 LAGKUTI Sergiy68
68 BAZHKOU Stanislau65
72 OVECHKIN Artem61
74 ERSHOV Artur70
76 TSISHKOU Raman72
80 IVASHKIN Anton73
87 EVTUSHENKO Alexander72
89 RAILEANU Cristian63
93 SEROV Alexander77
95 ZHURKIN Nikolay77
98 NEILANDS Krists69
100 KASYANOV Oleksiy62
101 KASA Gabor72
106 CHIșINăU Carțin Victor70
108 AHIYEVICH Aleh70
112 CHERKASOV Nikolay68