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 = 0.1 * weight + 7
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Mareczko
1
67 kgCarstensen
2
69 kgColedan
4
83 kgTipper
5
78 kgReguigui
6
69 kgVermeulen
7
66 kgHoller
8
58 kgNouisri
10
74 kgMilán
11
67 kgKurbatov
12
73 kgRivière
14
63 kgPozdnyakov
15
67 kgGaillard
16
64 kgMancebo
17
64 kgMaitre
18
71 kgPozzato
22
73 kgLachance
23
72 kgBjerkestrand Haugsvær
27
75 kgAraujo
33
68 kgVorobyev
34
74 kg
1
67 kgCarstensen
2
69 kgColedan
4
83 kgTipper
5
78 kgReguigui
6
69 kgVermeulen
7
66 kgHoller
8
58 kgNouisri
10
74 kgMilán
11
67 kgKurbatov
12
73 kgRivière
14
63 kgPozdnyakov
15
67 kgGaillard
16
64 kgMancebo
17
64 kgMaitre
18
71 kgPozzato
22
73 kgLachance
23
72 kgBjerkestrand Haugsvær
27
75 kgAraujo
33
68 kgVorobyev
34
74 kg
Weight (KG) →
Result →
83
58
1
34
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARECZKO Jakub | 67 |
| 2 | CARSTENSEN Lucas | 69 |
| 4 | COLEDAN Marco | 83 |
| 5 | TIPPER Jacob | 78 |
| 6 | REGUIGUI Youcef | 69 |
| 7 | VERMEULEN Alexey | 66 |
| 8 | HOLLER Nikodemus | 58 |
| 10 | NOUISRI Ali | 74 |
| 11 | MILÁN Diego | 67 |
| 12 | KURBATOV Alexey | 73 |
| 14 | RIVIÈRE David | 63 |
| 15 | POZDNYAKOV Kirill | 67 |
| 16 | GAILLARD Marlon | 64 |
| 17 | MANCEBO Francisco | 64 |
| 18 | MAITRE Florian | 71 |
| 22 | POZZATO Filippo | 73 |
| 23 | LACHANCE Jean-Michel | 72 |
| 27 | BJERKESTRAND HAUGSVÆR Sindre | 75 |
| 33 | ARAUJO Bruno | 68 |
| 34 | VOROBYEV Anton | 74 |