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 = 2.2 * weight - 117
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
Evrard
3
65 kgKostyuk
4
66 kgKusztor
5
61 kgNechita
8
71 kgHristov
9
57 kgGerganov
10
60 kgStassen
11
66 kgKvachuk
12
68 kgDufrasne
14
70 kgButs
18
68 kgBerdos
25
68 kgTanovițchii
31
73 kgPolazzi
32
63 kgSamli
33
75 kgDernies
39
68 kgStević
40
66 kgBalkan
41
64 kgVasilyev
45
70 kgDemoitié
50
69 kgKasa
57
72 kgLovassy
59
71 kgKüçükbay
67
70 kg
3
65 kgKostyuk
4
66 kgKusztor
5
61 kgNechita
8
71 kgHristov
9
57 kgGerganov
10
60 kgStassen
11
66 kgKvachuk
12
68 kgDufrasne
14
70 kgButs
18
68 kgBerdos
25
68 kgTanovițchii
31
73 kgPolazzi
32
63 kgSamli
33
75 kgDernies
39
68 kgStević
40
66 kgBalkan
41
64 kgVasilyev
45
70 kgDemoitié
50
69 kgKasa
57
72 kgLovassy
59
71 kgKüçükbay
67
70 kg
Weight (KG) →
Result →
75
57
3
67
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | EVRARD Laurent | 65 |
| 4 | KOSTYUK Denys | 66 |
| 5 | KUSZTOR Péter | 61 |
| 8 | NECHITA Andrei | 71 |
| 9 | HRISTOV Stefan Koychev | 57 |
| 10 | GERGANOV Evgeni | 60 |
| 11 | STASSEN Julien | 66 |
| 12 | KVACHUK Oleksandr | 68 |
| 14 | DUFRASNE Jonathan | 70 |
| 18 | BUTS Vitaliy | 68 |
| 25 | BERDOS Oleg | 68 |
| 31 | TANOVIȚCHII Nicolae | 73 |
| 32 | POLAZZI Fabio | 63 |
| 33 | SAMLI Feritcan | 75 |
| 39 | DERNIES Tom | 68 |
| 40 | STEVIĆ Ivan | 66 |
| 41 | BALKAN Serkan | 64 |
| 45 | VASILYEV Maksym | 70 |
| 50 | DEMOITIÉ Antoine | 69 |
| 57 | KASA Gabor | 72 |
| 59 | LOVASSY Krisztián | 71 |
| 67 | KÜÇÜKBAY Kemal | 70 |