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 = 2.1 * weight - 113
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
Dekker
1
69 kgLoder
2
62 kgDupont
4
57 kgKohl
6
61 kgde Maar
7
70 kgBernaudeau
11
62 kgPauwels
13
65 kgLosada
16
69 kgCoutouly
21
72 kgReus
26
70 kgBonnaire
27
67 kgParisien
36
64 kgPauriol
37
68 kgClement
38
66 kgDrujon
39
75 kgWinn
44
70 kgDi Grégorio
46
67 kgEstrada
50
70 kgDrancourt
53
68 kgBeppu
71
69 kgEstadieu
74
67 kg
1
69 kgLoder
2
62 kgDupont
4
57 kgKohl
6
61 kgde Maar
7
70 kgBernaudeau
11
62 kgPauwels
13
65 kgLosada
16
69 kgCoutouly
21
72 kgReus
26
70 kgBonnaire
27
67 kgParisien
36
64 kgPauriol
37
68 kgClement
38
66 kgDrujon
39
75 kgWinn
44
70 kgDi Grégorio
46
67 kgEstrada
50
70 kgDrancourt
53
68 kgBeppu
71
69 kgEstadieu
74
67 kg
Weight (KG) →
Result →
75
57
1
74
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEKKER Thomas | 69 |
| 2 | LODER Thierry | 62 |
| 4 | DUPONT Hubert | 57 |
| 6 | KOHL Bernhard | 61 |
| 7 | DE MAAR Marc | 70 |
| 11 | BERNAUDEAU Giovanni | 62 |
| 13 | PAUWELS Serge | 65 |
| 16 | LOSADA Alberto | 69 |
| 21 | COUTOULY Cédric | 72 |
| 26 | REUS Kai | 70 |
| 27 | BONNAIRE Olivier | 67 |
| 36 | PARISIEN François | 64 |
| 37 | PAURIOL Rémi | 68 |
| 38 | CLEMENT Stef | 66 |
| 39 | DRUJON Mathieu | 75 |
| 44 | WINN Julian | 70 |
| 46 | DI GRÉGORIO Rémy | 67 |
| 50 | ESTRADA Juan Javier | 70 |
| 53 | DRANCOURT Pierre | 68 |
| 71 | BEPPU Fumiyuki | 69 |
| 74 | ESTADIEU Laurent | 67 |