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 = -0.8 * weight + 70
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Kashechkin
2
70 kgPortal
4
70 kgBoonen
6
82 kgSteegmans
7
82 kgMuravyev
9
75 kgCalzati
10
68 kgVan Huffel
11
66 kgCaruso
12
60 kgCommeyne
14
70 kgHervé
15
60 kgPosthuma
16
76 kgVan Hecke
20
69 kgMutsaars
21
67 kgRosseler
22
78 kgDumoulin
23
57 kgDockx
32
64 kgStubbe
35
66 kgDe Schrooder
36
61 kgRenders
41
63 kg
2
70 kgPortal
4
70 kgBoonen
6
82 kgSteegmans
7
82 kgMuravyev
9
75 kgCalzati
10
68 kgVan Huffel
11
66 kgCaruso
12
60 kgCommeyne
14
70 kgHervé
15
60 kgPosthuma
16
76 kgVan Hecke
20
69 kgMutsaars
21
67 kgRosseler
22
78 kgDumoulin
23
57 kgDockx
32
64 kgStubbe
35
66 kgDe Schrooder
36
61 kgRenders
41
63 kg
Weight (KG) →
Result →
82
57
2
41
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KASHECHKIN Andrey | 70 |
| 4 | PORTAL Nicolas | 70 |
| 6 | BOONEN Tom | 82 |
| 7 | STEEGMANS Gert | 82 |
| 9 | MURAVYEV Dmitriy | 75 |
| 10 | CALZATI Sylvain | 68 |
| 11 | VAN HUFFEL Wim | 66 |
| 12 | CARUSO Giampaolo | 60 |
| 14 | COMMEYNE Davy | 70 |
| 15 | HERVÉ Cédric | 60 |
| 16 | POSTHUMA Joost | 76 |
| 20 | VAN HECKE Preben | 69 |
| 21 | MUTSAARS Ronald | 67 |
| 22 | ROSSELER Sébastien | 78 |
| 23 | DUMOULIN Samuel | 57 |
| 32 | DOCKX Bart | 64 |
| 35 | STUBBE Tom | 66 |
| 36 | DE SCHROODER Benny | 61 |
| 41 | RENDERS Sven | 63 |