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 = 0.5 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Mareczko
1
67 kgVermeulen
2
66 kgCarstensen
3
69 kgHoller
5
58 kgTipper
7
78 kgTorres
8
70 kgReguigui
9
69 kgRivière
11
63 kgPozdnyakov
13
67 kgColedan
15
83 kgHaddi
16
63 kgJelloul
17
58 kgNouisri
18
74 kgGaillard
19
64 kgMilán
20
67 kgKurbatov
21
73 kgMancebo
22
64 kgPozzato
23
73 kgLachance
26
72 kgMaitre
28
71 kgAraujo
34
68 kgVorobyev
35
74 kgBjerkestrand Haugsvær
36
75 kg
1
67 kgVermeulen
2
66 kgCarstensen
3
69 kgHoller
5
58 kgTipper
7
78 kgTorres
8
70 kgReguigui
9
69 kgRivière
11
63 kgPozdnyakov
13
67 kgColedan
15
83 kgHaddi
16
63 kgJelloul
17
58 kgNouisri
18
74 kgGaillard
19
64 kgMilán
20
67 kgKurbatov
21
73 kgMancebo
22
64 kgPozzato
23
73 kgLachance
26
72 kgMaitre
28
71 kgAraujo
34
68 kgVorobyev
35
74 kgBjerkestrand Haugsvær
36
75 kg
Weight (KG) →
Result →
83
58
1
36
# | Rider | Weight (KG) |
---|---|---|
1 | MARECZKO Jakub | 67 |
2 | VERMEULEN Alexey | 66 |
3 | CARSTENSEN Lucas | 69 |
5 | HOLLER Nikodemus | 58 |
7 | TIPPER Jacob | 78 |
8 | TORRES Albert | 70 |
9 | REGUIGUI Youcef | 69 |
11 | RIVIÈRE David | 63 |
13 | POZDNYAKOV Kirill | 67 |
15 | COLEDAN Marco | 83 |
16 | HADDI Soufiane | 63 |
17 | JELLOUL Adil | 58 |
18 | NOUISRI Ali | 74 |
19 | GAILLARD Marlon | 64 |
20 | MILÁN Diego | 67 |
21 | KURBATOV Alexey | 73 |
22 | MANCEBO Francisco | 64 |
23 | POZZATO Filippo | 73 |
26 | LACHANCE Jean-Michel | 72 |
28 | MAITRE Florian | 71 |
34 | ARAUJO Bruno | 68 |
35 | VOROBYEV Anton | 74 |
36 | BJERKESTRAND HAUGSVÆR Sindre | 75 |