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 = -0.6 * weight + 56
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Walscheid
1
90 kgFedorov
2
80 kgÖrken
3
69 kgBouglas
4
71 kgJones
5
82 kgMinali
6
74 kgBoonratanathanakorn
7
72 kgMohd Zariff
8
63 kgPelucchi
9
74 kgLonardi
10
70 kgSaleh
11
70 kgLecroq
12
70 kgPacioni
13
67 kgNovardianto
18
69 kgRajović
19
74 kgViel
20
72 kgIacchi
23
59 kgCahyadi
24
52 kgVink
25
73 kgAhmad
26
66 kg
1
90 kgFedorov
2
80 kgÖrken
3
69 kgBouglas
4
71 kgJones
5
82 kgMinali
6
74 kgBoonratanathanakorn
7
72 kgMohd Zariff
8
63 kgPelucchi
9
74 kgLonardi
10
70 kgSaleh
11
70 kgLecroq
12
70 kgPacioni
13
67 kgNovardianto
18
69 kgRajović
19
74 kgViel
20
72 kgIacchi
23
59 kgCahyadi
24
52 kgVink
25
73 kgAhmad
26
66 kg
Weight (KG) →
Result →
90
52
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WALSCHEID Max | 90 |
| 2 | FEDOROV Yevgeniy | 80 |
| 3 | ÖRKEN Ahmet | 69 |
| 4 | BOUGLAS Georgios | 71 |
| 5 | JONES Taj | 82 |
| 6 | MINALI Riccardo | 74 |
| 7 | BOONRATANATHANAKORN Turakit | 72 |
| 8 | MOHD ZARIFF Muhammad Nur Aiman | 63 |
| 9 | PELUCCHI Matteo | 74 |
| 10 | LONARDI Giovanni | 70 |
| 11 | SALEH Mohd Harrif | 70 |
| 12 | LECROQ Jérémy | 70 |
| 13 | PACIONI Luca | 67 |
| 18 | NOVARDIANTO Jamalidin | 69 |
| 19 | RAJOVIĆ Dušan | 74 |
| 20 | VIEL Mattia | 72 |
| 23 | IACCHI Alessandro | 59 |
| 24 | CAHYADI Aiman | 52 |
| 25 | VINK Michael | 73 |
| 26 | AHMAD Muhammad Ameer | 66 |