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 = 2.2 * weight - 114
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
Pauriol
1
68 kgKohl
2
61 kgBonnaire
5
67 kgDekker
7
69 kgPauwels
10
65 kgDupont
11
57 kgLoder
12
62 kgCoutouly
16
72 kgReus
17
70 kgde Maar
18
70 kgLosada
25
69 kgEstadieu
29
67 kgBernaudeau
31
62 kgMarino
33
65 kgBeppu
38
69 kgClement
42
66 kgParisien
60
64 kgWinn
64
70 kgDrujon
69
75 kgEstrada
71
70 kgDi Grégorio
73
67 kgDrancourt
78
68 kg
1
68 kgKohl
2
61 kgBonnaire
5
67 kgDekker
7
69 kgPauwels
10
65 kgDupont
11
57 kgLoder
12
62 kgCoutouly
16
72 kgReus
17
70 kgde Maar
18
70 kgLosada
25
69 kgEstadieu
29
67 kgBernaudeau
31
62 kgMarino
33
65 kgBeppu
38
69 kgClement
42
66 kgParisien
60
64 kgWinn
64
70 kgDrujon
69
75 kgEstrada
71
70 kgDi Grégorio
73
67 kgDrancourt
78
68 kg
Weight (KG) →
Result →
75
57
1
78
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PAURIOL Rémi | 68 |
| 2 | KOHL Bernhard | 61 |
| 5 | BONNAIRE Olivier | 67 |
| 7 | DEKKER Thomas | 69 |
| 10 | PAUWELS Serge | 65 |
| 11 | DUPONT Hubert | 57 |
| 12 | LODER Thierry | 62 |
| 16 | COUTOULY Cédric | 72 |
| 17 | REUS Kai | 70 |
| 18 | DE MAAR Marc | 70 |
| 25 | LOSADA Alberto | 69 |
| 29 | ESTADIEU Laurent | 67 |
| 31 | BERNAUDEAU Giovanni | 62 |
| 33 | MARINO Jean-Marc | 65 |
| 38 | BEPPU Fumiyuki | 69 |
| 42 | CLEMENT Stef | 66 |
| 60 | PARISIEN François | 64 |
| 64 | WINN Julian | 70 |
| 69 | DRUJON Mathieu | 75 |
| 71 | ESTRADA Juan Javier | 70 |
| 73 | DI GRÉGORIO Rémy | 67 |
| 78 | DRANCOURT Pierre | 68 |