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 + 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Mareczko
1
67 kgPalini
2
67 kgÖrken
5
69 kgŠiškevičius
6
80 kgChtioui
11
82 kgButs
13
68 kgWang
16
70 kgLaas
17
76 kgShpilevsky
18
78 kgMeijers
19
68 kgSisr
22
72 kgVerschoor
23
74.5 kgHaddi
26
63 kgEl Fares
27
62 kgMancebo
28
64 kgVasylyuk
34
65 kgDal Col
35
80 kgVaitkus
37
75 kgBol
39
83 kg
1
67 kgPalini
2
67 kgÖrken
5
69 kgŠiškevičius
6
80 kgChtioui
11
82 kgButs
13
68 kgWang
16
70 kgLaas
17
76 kgShpilevsky
18
78 kgMeijers
19
68 kgSisr
22
72 kgVerschoor
23
74.5 kgHaddi
26
63 kgEl Fares
27
62 kgMancebo
28
64 kgVasylyuk
34
65 kgDal Col
35
80 kgVaitkus
37
75 kgBol
39
83 kg
Weight (KG) →
Result →
83
62
1
39
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARECZKO Jakub | 67 |
| 2 | PALINI Andrea | 67 |
| 5 | ÖRKEN Ahmet | 69 |
| 6 | ŠIŠKEVIČIUS Evaldas | 80 |
| 11 | CHTIOUI Rafaâ | 82 |
| 13 | BUTS Vitaliy | 68 |
| 16 | WANG Meiyin | 70 |
| 17 | LAAS Martin | 76 |
| 18 | SHPILEVSKY Boris | 78 |
| 19 | MEIJERS Jeroen | 68 |
| 22 | SISR František | 72 |
| 23 | VERSCHOOR Martijn | 74.5 |
| 26 | HADDI Soufiane | 63 |
| 27 | EL FARES Julien | 62 |
| 28 | MANCEBO Francisco | 64 |
| 34 | VASYLYUK Andriy | 65 |
| 35 | DAL COL Andrea | 80 |
| 37 | VAITKUS Tomas | 75 |
| 39 | BOL Cees | 83 |