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:
The formula for the regression line on the riders in the result is as follows:
result = 1 * weight - 25
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Krasnov
2
65 kgMironov
3
68 kgMezgec
5
72 kgStević
6
66 kgBoev
7
74 kgTamouridis
9
70 kgNikolaev
11
66 kgVasylyuk
25
65 kgTopchanyuk
48
65 kgBajc
51
65 kgČanecký
53
72 kgKochetkov
55
70 kgLozano
56
63 kgKasa
70
72 kgSolomennikov
71
72 kgKondrut
81
79 kgRybakov
84
65 kgKuznetsov
106
70 kgPiasetski
113
66 kg
2
65 kgMironov
3
68 kgMezgec
5
72 kgStević
6
66 kgBoev
7
74 kgTamouridis
9
70 kgNikolaev
11
66 kgVasylyuk
25
65 kgTopchanyuk
48
65 kgBajc
51
65 kgČanecký
53
72 kgKochetkov
55
70 kgLozano
56
63 kgKasa
70
72 kgSolomennikov
71
72 kgKondrut
81
79 kgRybakov
84
65 kgKuznetsov
106
70 kgPiasetski
113
66 kg
Weight (KG) →
Result →
79
63
2
113
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KRASNOV Leonid | 65 |
| 3 | MIRONOV Alexander | 68 |
| 5 | MEZGEC Luka | 72 |
| 6 | STEVIĆ Ivan | 66 |
| 7 | BOEV Igor | 74 |
| 9 | TAMOURIDIS Ioannis | 70 |
| 11 | NIKOLAEV Sergey | 66 |
| 25 | VASYLYUK Andriy | 65 |
| 48 | TOPCHANYUK Artem | 65 |
| 51 | BAJC Andi | 65 |
| 53 | ČANECKÝ Marek | 72 |
| 55 | KOCHETKOV Pavel | 70 |
| 56 | LOZANO David | 63 |
| 70 | KASA Gabor | 72 |
| 71 | SOLOMENNIKOV Andrei | 72 |
| 81 | KONDRUT Vitaliy | 79 |
| 84 | RYBAKOV Alexander | 65 |
| 106 | KUZNETSOV Viacheslav | 70 |
| 113 | PIASETSKI Aliaksandr | 66 |