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 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Nuyens
1
68 kgScheuneman
2
75 kgEngoulvent
3
82 kgVaugrenard
4
72 kgSentjens
5
75 kgRenshaw
6
74 kgVan Goolen
7
70 kgScheirlinckx
8
78 kgKuyckx
9
68 kgCoenen
10
67 kgVan Huffel
11
66 kgClerc
12
71 kgDockx
13
64 kgGardeyn
14
75 kgde Wilde
15
74 kgAbakoumov
16
68 kgVansummeren
17
79 kgSteegmans
18
82 kgBichot
19
67 kgDe Vocht
20
78 kgRoy
23
70 kg
1
68 kgScheuneman
2
75 kgEngoulvent
3
82 kgVaugrenard
4
72 kgSentjens
5
75 kgRenshaw
6
74 kgVan Goolen
7
70 kgScheirlinckx
8
78 kgKuyckx
9
68 kgCoenen
10
67 kgVan Huffel
11
66 kgClerc
12
71 kgDockx
13
64 kgGardeyn
14
75 kgde Wilde
15
74 kgAbakoumov
16
68 kgVansummeren
17
79 kgSteegmans
18
82 kgBichot
19
67 kgDe Vocht
20
78 kgRoy
23
70 kg
Weight (KG) →
Result →
82
64
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NUYENS Nick | 68 |
| 2 | SCHEUNEMAN Niels | 75 |
| 3 | ENGOULVENT Jimmy | 82 |
| 4 | VAUGRENARD Benoît | 72 |
| 5 | SENTJENS Roy | 75 |
| 6 | RENSHAW Mark | 74 |
| 7 | VAN GOOLEN Jurgen | 70 |
| 8 | SCHEIRLINCKX Staf | 78 |
| 9 | KUYCKX Jan | 68 |
| 10 | COENEN Johan | 67 |
| 11 | VAN HUFFEL Wim | 66 |
| 12 | CLERC Aurélien | 71 |
| 13 | DOCKX Bart | 64 |
| 14 | GARDEYN Gorik | 75 |
| 15 | DE WILDE Sjef | 74 |
| 16 | ABAKOUMOV Igor | 68 |
| 17 | VANSUMMEREN Johan | 79 |
| 18 | STEEGMANS Gert | 82 |
| 19 | BICHOT Freddy | 67 |
| 20 | DE VOCHT Wim | 78 |
| 23 | ROY Jérémy | 70 |