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 = 0.4 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Bole
1
69 kgPascual
2
66 kgMonk
4
67 kgAït El Abdia
5
66 kgBudyak
6
53 kgSainbayar
8
60 kgRaileanu
12
63 kgÖzgür
13
75 kgBogdanovičs
14
68 kgFomovskiy
15
82 kgHaddi
16
63 kgLakasek
17
71 kgKubiš
19
70 kgOkubamariam
20
60 kgKhafi
21
65 kgBalkan
22
69 kgBocharov
24
72 kgAsadov
25
77 kgAljaber
27
58 kgMurad
35
82 kg
1
69 kgPascual
2
66 kgMonk
4
67 kgAït El Abdia
5
66 kgBudyak
6
53 kgSainbayar
8
60 kgRaileanu
12
63 kgÖzgür
13
75 kgBogdanovičs
14
68 kgFomovskiy
15
82 kgHaddi
16
63 kgLakasek
17
71 kgKubiš
19
70 kgOkubamariam
20
60 kgKhafi
21
65 kgBalkan
22
69 kgBocharov
24
72 kgAsadov
25
77 kgAljaber
27
58 kgMurad
35
82 kg
Weight (KG) →
Result →
82
53
1
35
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOLE Grega | 69 |
| 2 | PASCUAL Eusebio | 66 |
| 4 | MONK Cyrus | 67 |
| 5 | AÏT EL ABDIA Anass | 66 |
| 6 | BUDYAK Anatoliy | 53 |
| 8 | SAINBAYAR Jambaljamts | 60 |
| 12 | RAILEANU Cristian | 63 |
| 13 | ÖZGÜR Batuhan | 75 |
| 14 | BOGDANOVIČS Māris | 68 |
| 15 | FOMOVSKIY Aleksey | 82 |
| 16 | HADDI Soufiane | 63 |
| 17 | LAKASEK Irwandie | 71 |
| 19 | KUBIŠ Lukáš | 70 |
| 20 | OKUBAMARIAM Tesfom | 60 |
| 21 | KHAFI Oussama | 65 |
| 22 | BALKAN Onur | 69 |
| 24 | BOCHAROV Dmitriy | 72 |
| 25 | ASADOV Elchin | 77 |
| 27 | ALJABER Mohammed | 58 |
| 35 | MURAD Tariq | 82 |