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 + 56
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Mareczko
1
67 kgÖrken
2
69 kgPalini
4
67 kgŠiškevičius
8
80 kgVaitkus
10
75 kgButs
11
68 kgLaas
13
76 kgVerschoor
14
74.5 kgChtioui
16
82 kgMeijers
17
68 kgDal Col
20
80 kgShpilevsky
21
78 kgWang
22
70 kgBol
23
83 kgSisr
27
72 kgHaddi
30
63 kgMancebo
31
64 kgEl Fares
33
62 kgRahbek
35
66 kgCornelisse
41
73.5 kgVasylyuk
42
65 kg
1
67 kgÖrken
2
69 kgPalini
4
67 kgŠiškevičius
8
80 kgVaitkus
10
75 kgButs
11
68 kgLaas
13
76 kgVerschoor
14
74.5 kgChtioui
16
82 kgMeijers
17
68 kgDal Col
20
80 kgShpilevsky
21
78 kgWang
22
70 kgBol
23
83 kgSisr
27
72 kgHaddi
30
63 kgMancebo
31
64 kgEl Fares
33
62 kgRahbek
35
66 kgCornelisse
41
73.5 kgVasylyuk
42
65 kg
Weight (KG) →
Result →
83
62
1
42
# | Rider | Weight (KG) |
---|---|---|
1 | MARECZKO Jakub | 67 |
2 | ÖRKEN Ahmet | 69 |
4 | PALINI Andrea | 67 |
8 | ŠIŠKEVIČIUS Evaldas | 80 |
10 | VAITKUS Tomas | 75 |
11 | BUTS Vitaliy | 68 |
13 | LAAS Martin | 76 |
14 | VERSCHOOR Martijn | 74.5 |
16 | CHTIOUI Rafaâ | 82 |
17 | MEIJERS Jeroen | 68 |
20 | DAL COL Andrea | 80 |
21 | SHPILEVSKY Boris | 78 |
22 | WANG Meiyin | 70 |
23 | BOL Cees | 83 |
27 | SISR František | 72 |
30 | HADDI Soufiane | 63 |
31 | MANCEBO Francisco | 64 |
33 | EL FARES Julien | 62 |
35 | RAHBEK Mads | 66 |
41 | CORNELISSE Mitchell | 73.5 |
42 | VASYLYUK Andriy | 65 |