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 + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Wauters
1
73 kgRoesems
2
81 kgVandenbroucke
3
67 kgVan Petegem
4
70 kgVan den Broeck
5
69 kgVan Impe
6
75 kgOmloop
7
78 kgKaisen
8
82 kgDe Neef
9
75 kgSijmens
10
69 kgDe Vocht
11
78 kgThijs
12
69 kgScheirlinckx
14
67 kgStubbe
15
66 kgDe Schrooder
16
61 kgWynants
19
74 kgIsta
21
70 kg
1
73 kgRoesems
2
81 kgVandenbroucke
3
67 kgVan Petegem
4
70 kgVan den Broeck
5
69 kgVan Impe
6
75 kgOmloop
7
78 kgKaisen
8
82 kgDe Neef
9
75 kgSijmens
10
69 kgDe Vocht
11
78 kgThijs
12
69 kgScheirlinckx
14
67 kgStubbe
15
66 kgDe Schrooder
16
61 kgWynants
19
74 kgIsta
21
70 kg
Weight (KG) →
Result →
82
61
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WAUTERS Marc | 73 |
| 2 | ROESEMS Bert | 81 |
| 3 | VANDENBROUCKE Frank | 67 |
| 4 | VAN PETEGEM Peter | 70 |
| 5 | VAN DEN BROECK Jurgen | 69 |
| 6 | VAN IMPE Kevin | 75 |
| 7 | OMLOOP Geert | 78 |
| 8 | KAISEN Olivier | 82 |
| 9 | DE NEEF Steven | 75 |
| 10 | SIJMENS Nico | 69 |
| 11 | DE VOCHT Wim | 78 |
| 12 | THIJS Erwin | 69 |
| 14 | SCHEIRLINCKX Bert | 67 |
| 15 | STUBBE Tom | 66 |
| 16 | DE SCHROODER Benny | 61 |
| 19 | WYNANTS Maarten | 74 |
| 21 | ISTA Kevyn | 70 |