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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 + 201

This means that on average for every extra kilogram weight a rider loses -2.3 positions in the result.
# Rider Weight (KG)
1 VOROBYEV Anton74
2 KARALIOK Yauheni75
3 MANAKOV Victor77
4 ERSHOV Artur70
8 STASH Mamyr77
9 AKHRAMENKA Yauheni78
12 SHEMETAU Mikhail79
14 SAMOILAU Branislau77
15 TSISHKOU Raman72
21 ROSTOVTSEV Sergey73
22 OVECHKIN Artem61
24 POZDNYAKOV Kirill67
27 ANSONS Kristers77
29 AHIYEVICH Aleh70
32 STROKAU Vasili74
41 SERGIS Kaspars75
45 KERS Koos Jeroen71
46 ZHURKIN Nikolay77
49 VORGANOV Eduard65
51 NIKOLAEV Sergey66
58 ZUBOV Matvey72
61 DUBOVSKI Vladzislau75
65 KOMIN Aleksandr63
67 MIKAYILZADE Musa66
68 RAMANAU Raman68
72 BAZHKOU Stanislau65
74 JABRAYILOV Samir52
79 FATKULLIN Valerii62
87 YOGEV Alon78
90 SIDOROV Igor62