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 + 10
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
De Vocht
1
78 kgDion
2
65 kgMondory
3
66 kgMatheou
4
73 kgKohler
5
69 kgVandenbergh
6
86 kgBrard
7
74 kgBoonen
8
82 kgRoelandts
9
78 kgJeandesboz
10
69 kgRuijgh
11
64 kgBakelants
12
67 kgVan Melsen
13
77 kgGérard
15
70 kgDe Gendt
16
73 kgVan Avermaet
17
74 kgDocker
18
73 kg
1
78 kgDion
2
65 kgMondory
3
66 kgMatheou
4
73 kgKohler
5
69 kgVandenbergh
6
86 kgBrard
7
74 kgBoonen
8
82 kgRoelandts
9
78 kgJeandesboz
10
69 kgRuijgh
11
64 kgBakelants
12
67 kgVan Melsen
13
77 kgGérard
15
70 kgDe Gendt
16
73 kgVan Avermaet
17
74 kgDocker
18
73 kg
Weight (KG) →
Result →
86
64
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE VOCHT Wim | 78 |
| 2 | DION Renaud | 65 |
| 3 | MONDORY Lloyd | 66 |
| 4 | MATHEOU Romain | 73 |
| 5 | KOHLER Martin | 69 |
| 6 | VANDENBERGH Stijn | 86 |
| 7 | BRARD Florent | 74 |
| 8 | BOONEN Tom | 82 |
| 9 | ROELANDTS Jürgen | 78 |
| 10 | JEANDESBOZ Fabrice | 69 |
| 11 | RUIJGH Rob | 64 |
| 12 | BAKELANTS Jan | 67 |
| 13 | VAN MELSEN Kévin | 77 |
| 15 | GÉRARD Arnaud | 70 |
| 16 | DE GENDT Thomas | 73 |
| 17 | VAN AVERMAET Greg | 74 |
| 18 | DOCKER Mitchell | 73 |