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 + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Latour
1
66 kgWarnier
2
71 kgScott
3
68 kgMyngheer
4
74 kgBonnamour
5
70 kgTurgis
6
70 kgBenito
7
67 kgAristi
8
72 kgSénéchal
9
77 kgLastra
10
64 kgFarazijn
12
73.5 kgDenz
13
71 kgJauregui
14
60 kgEnger
15
69 kgHoelgaard
17
77 kgThalmann
18
61 kgLevasseur
19
74 kgPage
20
64 kgDe Gendt
21
75 kgYssaad
22
69 kgLaas
23
76 kg
1
66 kgWarnier
2
71 kgScott
3
68 kgMyngheer
4
74 kgBonnamour
5
70 kgTurgis
6
70 kgBenito
7
67 kgAristi
8
72 kgSénéchal
9
77 kgLastra
10
64 kgFarazijn
12
73.5 kgDenz
13
71 kgJauregui
14
60 kgEnger
15
69 kgHoelgaard
17
77 kgThalmann
18
61 kgLevasseur
19
74 kgPage
20
64 kgDe Gendt
21
75 kgYssaad
22
69 kgLaas
23
76 kg
Weight (KG) →
Result →
77
60
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LATOUR Pierre | 66 |
| 2 | WARNIER Antoine | 71 |
| 3 | SCOTT Jacob | 68 |
| 4 | MYNGHEER Daan | 74 |
| 5 | BONNAMOUR Franck | 70 |
| 6 | TURGIS Anthony | 70 |
| 7 | BENITO Miguel Ángel | 67 |
| 8 | ARISTI Mikel | 72 |
| 9 | SÉNÉCHAL Florian | 77 |
| 10 | LASTRA Jonathan | 64 |
| 12 | FARAZIJN Maxime | 73.5 |
| 13 | DENZ Nico | 71 |
| 14 | JAUREGUI Quentin | 60 |
| 15 | ENGER Sondre Holst | 69 |
| 17 | HOELGAARD Daniel | 77 |
| 18 | THALMANN Roland | 61 |
| 19 | LEVASSEUR Jordan | 74 |
| 20 | PAGE Dylan | 64 |
| 21 | DE GENDT Aimé | 75 |
| 22 | YSSAAD Yannis | 69 |
| 23 | LAAS Martin | 76 |