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 + 4
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
3
83 kgTipper
5
78 kgReguigui
6
69 kgVermeulen
7
66 kgHoller
8
58 kgMilán
10
67 kgKurbatov
11
73 kgNouisri
12
74 kgRivière
14
63 kgPozdnyakov
15
67 kgGaillard
16
64 kgMancebo
17
64 kgMaitre
18
71 kgPozzato
22
73 kgLachance
25
72 kgAraujo
32
68 kgVorobyev
33
74 kgBjerkestrand Haugsvær
34
75 kg
1
67 kgCarstensen
2
69 kgColedan
3
83 kgTipper
5
78 kgReguigui
6
69 kgVermeulen
7
66 kgHoller
8
58 kgMilán
10
67 kgKurbatov
11
73 kgNouisri
12
74 kgRivière
14
63 kgPozdnyakov
15
67 kgGaillard
16
64 kgMancebo
17
64 kgMaitre
18
71 kgPozzato
22
73 kgLachance
25
72 kgAraujo
32
68 kgVorobyev
33
74 kgBjerkestrand Haugsvær
34
75 kg
Weight (KG) →
Result →
83
58
1
34
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARECZKO Jakub | 67 |
| 2 | CARSTENSEN Lucas | 69 |
| 3 | COLEDAN Marco | 83 |
| 5 | TIPPER Jacob | 78 |
| 6 | REGUIGUI Youcef | 69 |
| 7 | VERMEULEN Alexey | 66 |
| 8 | HOLLER Nikodemus | 58 |
| 10 | MILÁN Diego | 67 |
| 11 | KURBATOV Alexey | 73 |
| 12 | NOUISRI Ali | 74 |
| 14 | RIVIÈRE David | 63 |
| 15 | POZDNYAKOV Kirill | 67 |
| 16 | GAILLARD Marlon | 64 |
| 17 | MANCEBO Francisco | 64 |
| 18 | MAITRE Florian | 71 |
| 22 | POZZATO Filippo | 73 |
| 25 | LACHANCE Jean-Michel | 72 |
| 32 | ARAUJO Bruno | 68 |
| 33 | VOROBYEV Anton | 74 |
| 34 | BJERKESTRAND HAUGSVÆR Sindre | 75 |