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 * weight - 57
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Mareczko
1
67 kgVermeulen
2
66 kgHoller
3
58 kgCarstensen
6
69 kgReguigui
7
69 kgPozdnyakov
9
67 kgHaddi
11
63 kgNouisri
12
74 kgGaillard
13
64 kgMilán
14
67 kgMancebo
15
64 kgTorres
16
70 kgRivière
17
63 kgTipper
19
78 kgMaitre
22
71 kgBergström Frisk
23
70 kgKurbatov
24
73 kgVorobyev
29
74 kgBjerkestrand Haugsvær
30
75 kg
1
67 kgVermeulen
2
66 kgHoller
3
58 kgCarstensen
6
69 kgReguigui
7
69 kgPozdnyakov
9
67 kgHaddi
11
63 kgNouisri
12
74 kgGaillard
13
64 kgMilán
14
67 kgMancebo
15
64 kgTorres
16
70 kgRivière
17
63 kgTipper
19
78 kgMaitre
22
71 kgBergström Frisk
23
70 kgKurbatov
24
73 kgVorobyev
29
74 kgBjerkestrand Haugsvær
30
75 kg
Weight (KG) →
Result →
78
58
1
30
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARECZKO Jakub | 67 |
| 2 | VERMEULEN Alexey | 66 |
| 3 | HOLLER Nikodemus | 58 |
| 6 | CARSTENSEN Lucas | 69 |
| 7 | REGUIGUI Youcef | 69 |
| 9 | POZDNYAKOV Kirill | 67 |
| 11 | HADDI Soufiane | 63 |
| 12 | NOUISRI Ali | 74 |
| 13 | GAILLARD Marlon | 64 |
| 14 | MILÁN Diego | 67 |
| 15 | MANCEBO Francisco | 64 |
| 16 | TORRES Albert | 70 |
| 17 | RIVIÈRE David | 63 |
| 19 | TIPPER Jacob | 78 |
| 22 | MAITRE Florian | 71 |
| 23 | BERGSTRÖM FRISK Hannes | 70 |
| 24 | KURBATOV Alexey | 73 |
| 29 | VOROBYEV Anton | 74 |
| 30 | BJERKESTRAND HAUGSVÆR Sindre | 75 |