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 = 1.1 * weight - 59
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Mareczko
1
67 kgVermeulen
2
66 kgCarstensen
3
69 kgHoller
5
58 kgTorres
7
70 kgReguigui
8
69 kgPozdnyakov
10
67 kgHaddi
12
63 kgNouisri
14
74 kgGaillard
15
64 kgMilán
16
67 kgMancebo
17
64 kgRivière
19
63 kgTipper
21
78 kgLachance
23
72 kgMaitre
25
71 kgKurbatov
26
73 kgVorobyev
32
74 kgBjerkestrand Haugsvær
33
75 kg
1
67 kgVermeulen
2
66 kgCarstensen
3
69 kgHoller
5
58 kgTorres
7
70 kgReguigui
8
69 kgPozdnyakov
10
67 kgHaddi
12
63 kgNouisri
14
74 kgGaillard
15
64 kgMilán
16
67 kgMancebo
17
64 kgRivière
19
63 kgTipper
21
78 kgLachance
23
72 kgMaitre
25
71 kgKurbatov
26
73 kgVorobyev
32
74 kgBjerkestrand Haugsvær
33
75 kg
Weight (KG) →
Result →
78
58
1
33
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARECZKO Jakub | 67 |
| 2 | VERMEULEN Alexey | 66 |
| 3 | CARSTENSEN Lucas | 69 |
| 5 | HOLLER Nikodemus | 58 |
| 7 | TORRES Albert | 70 |
| 8 | REGUIGUI Youcef | 69 |
| 10 | POZDNYAKOV Kirill | 67 |
| 12 | HADDI Soufiane | 63 |
| 14 | NOUISRI Ali | 74 |
| 15 | GAILLARD Marlon | 64 |
| 16 | MILÁN Diego | 67 |
| 17 | MANCEBO Francisco | 64 |
| 19 | RIVIÈRE David | 63 |
| 21 | TIPPER Jacob | 78 |
| 23 | LACHANCE Jean-Michel | 72 |
| 25 | MAITRE Florian | 71 |
| 26 | KURBATOV Alexey | 73 |
| 32 | VOROBYEV Anton | 74 |
| 33 | BJERKESTRAND HAUGSVÆR Sindre | 75 |