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 + 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Magnier
1
70 kgRuiz
2
57 kgSutton
4
68 kgRolland
5
59 kgBehrens
6
80 kgDockx
7
56 kgMorgado
10
71 kgToussaint
12
64 kgMichels
16
59 kgBisiaux
18
58 kgSchrettl
19
63 kgvan Bekkum
20
62 kgArrighetti
21
74 kgHobbs
22
67 kgGieryk
24
71 kgKess
26
70 kgNovák
28
63 kgRex
29
70 kgPedersen
30
74 kgPřidal
31
66 kgPescador
34
60 kg
1
70 kgRuiz
2
57 kgSutton
4
68 kgRolland
5
59 kgBehrens
6
80 kgDockx
7
56 kgMorgado
10
71 kgToussaint
12
64 kgMichels
16
59 kgBisiaux
18
58 kgSchrettl
19
63 kgvan Bekkum
20
62 kgArrighetti
21
74 kgHobbs
22
67 kgGieryk
24
71 kgKess
26
70 kgNovák
28
63 kgRex
29
70 kgPedersen
30
74 kgPřidal
31
66 kgPescador
34
60 kg
Weight (KG) →
Result →
80
56
1
34
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAGNIER Paul | 70 |
| 2 | RUIZ Jeferson Armando | 57 |
| 4 | SUTTON Louis | 68 |
| 5 | ROLLAND Brieuc | 59 |
| 6 | BEHRENS Niklas | 80 |
| 7 | DOCKX Aaron | 56 |
| 10 | MORGADO António | 71 |
| 12 | TOUSSAINT Wouter | 64 |
| 16 | MICHELS Jente | 59 |
| 18 | BISIAUX Léo | 58 |
| 19 | SCHRETTL Marco | 63 |
| 20 | VAN BEKKUM Darren | 62 |
| 21 | ARRIGHETTI Nicolò | 74 |
| 22 | HOBBS Noah | 67 |
| 24 | GIERYK Kacper | 71 |
| 26 | KESS Alexandre | 70 |
| 28 | NOVÁK Samuel | 63 |
| 29 | REX Tim | 70 |
| 30 | PEDERSEN Rasmus Søjberg | 74 |
| 31 | PŘIDAL Tomáš | 66 |
| 34 | PESCADOR Diego | 60 |