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 + 43
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Fedorov
1
80 kgJones
2
82 kgWalscheid
3
90 kgBoonratanathanakorn
4
72 kgPelucchi
5
74 kgMohd Zariff
6
63 kgÖrken
7
69 kgLecroq
8
70 kgBouglas
9
71 kgSaleh
10
70 kgMinali
11
74 kgPacioni
13
67 kgRajović
15
74 kgViel
16
72 kgLonardi
17
70 kgIacchi
18
59 kgCahyadi
20
52 kgVink
21
73 kg
1
80 kgJones
2
82 kgWalscheid
3
90 kgBoonratanathanakorn
4
72 kgPelucchi
5
74 kgMohd Zariff
6
63 kgÖrken
7
69 kgLecroq
8
70 kgBouglas
9
71 kgSaleh
10
70 kgMinali
11
74 kgPacioni
13
67 kgRajović
15
74 kgViel
16
72 kgLonardi
17
70 kgIacchi
18
59 kgCahyadi
20
52 kgVink
21
73 kg
Weight (KG) →
Result →
90
52
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FEDOROV Yevgeniy | 80 |
| 2 | JONES Taj | 82 |
| 3 | WALSCHEID Max | 90 |
| 4 | BOONRATANATHANAKORN Turakit | 72 |
| 5 | PELUCCHI Matteo | 74 |
| 6 | MOHD ZARIFF Muhammad Nur Aiman | 63 |
| 7 | ÖRKEN Ahmet | 69 |
| 8 | LECROQ Jérémy | 70 |
| 9 | BOUGLAS Georgios | 71 |
| 10 | SALEH Mohd Harrif | 70 |
| 11 | MINALI Riccardo | 74 |
| 13 | PACIONI Luca | 67 |
| 15 | RAJOVIĆ Dušan | 74 |
| 16 | VIEL Mattia | 72 |
| 17 | LONARDI Giovanni | 70 |
| 18 | IACCHI Alessandro | 59 |
| 20 | CAHYADI Aiman | 52 |
| 21 | VINK Michael | 73 |