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 = 0.2 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Mareczko
1
67 kgCarstensen
2
69 kgColedan
4
83 kgTipper
5
78 kgVermeulen
6
66 kgHoller
7
58 kgReguigui
9
69 kgMilán
10
67 kgRivière
12
63 kgKurbatov
13
73 kgPozdnyakov
14
67 kgNouisri
15
74 kgGaillard
16
64 kgMancebo
17
64 kgMaitre
18
71 kgPozzato
21
73 kgLachance
24
72 kgAraujo
31
68 kgVorobyev
32
74 kgBjerkestrand Haugsvær
33
75 kg
1
67 kgCarstensen
2
69 kgColedan
4
83 kgTipper
5
78 kgVermeulen
6
66 kgHoller
7
58 kgReguigui
9
69 kgMilán
10
67 kgRivière
12
63 kgKurbatov
13
73 kgPozdnyakov
14
67 kgNouisri
15
74 kgGaillard
16
64 kgMancebo
17
64 kgMaitre
18
71 kgPozzato
21
73 kgLachance
24
72 kgAraujo
31
68 kgVorobyev
32
74 kgBjerkestrand Haugsvær
33
75 kg
Weight (KG) →
Result →
83
58
1
33
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARECZKO Jakub | 67 |
| 2 | CARSTENSEN Lucas | 69 |
| 4 | COLEDAN Marco | 83 |
| 5 | TIPPER Jacob | 78 |
| 6 | VERMEULEN Alexey | 66 |
| 7 | HOLLER Nikodemus | 58 |
| 9 | REGUIGUI Youcef | 69 |
| 10 | MILÁN Diego | 67 |
| 12 | RIVIÈRE David | 63 |
| 13 | KURBATOV Alexey | 73 |
| 14 | POZDNYAKOV Kirill | 67 |
| 15 | NOUISRI Ali | 74 |
| 16 | GAILLARD Marlon | 64 |
| 17 | MANCEBO Francisco | 64 |
| 18 | MAITRE Florian | 71 |
| 21 | POZZATO Filippo | 73 |
| 24 | LACHANCE Jean-Michel | 72 |
| 31 | ARAUJO Bruno | 68 |
| 32 | VOROBYEV Anton | 74 |
| 33 | BJERKESTRAND HAUGSVÆR Sindre | 75 |