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 + 186
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
Casero
1
72 kgden Bakker
2
71 kgBouyer
3
65 kgRous
4
70 kgHeulot
5
69 kgBouvard
7
70 kgVogels
10
75 kgRobin
17
63 kgGonzález de Galdeano
18
73 kgBlanco
20
66 kgGaumont
24
77 kgAuger
28
78 kgPretot
38
71 kgBénéteau
45
67 kgMorin
49
79 kgJalabert
65
68 kgGuesdon
67
73 kgJan
100
62 kgGabriel
105
60 kg
1
72 kgden Bakker
2
71 kgBouyer
3
65 kgRous
4
70 kgHeulot
5
69 kgBouvard
7
70 kgVogels
10
75 kgRobin
17
63 kgGonzález de Galdeano
18
73 kgBlanco
20
66 kgGaumont
24
77 kgAuger
28
78 kgPretot
38
71 kgBénéteau
45
67 kgMorin
49
79 kgJalabert
65
68 kgGuesdon
67
73 kgJan
100
62 kgGabriel
105
60 kg
Weight (KG) →
Result →
79
60
1
105
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CASERO Ángel Luis | 72 |
| 2 | DEN BAKKER Maarten | 71 |
| 3 | BOUYER Franck | 65 |
| 4 | ROUS Didier | 70 |
| 5 | HEULOT Stéphane | 69 |
| 7 | BOUVARD Gilles | 70 |
| 10 | VOGELS Henk | 75 |
| 17 | ROBIN Jean-Cyril | 63 |
| 18 | GONZÁLEZ DE GALDEANO Igor | 73 |
| 20 | BLANCO Santiago | 66 |
| 24 | GAUMONT Philippe | 77 |
| 28 | AUGER Ludovic | 78 |
| 38 | PRETOT Arnaud | 71 |
| 45 | BÉNÉTEAU Walter | 67 |
| 49 | MORIN Anthony | 79 |
| 65 | JALABERT Nicolas | 68 |
| 67 | GUESDON Frédéric | 73 |
| 100 | JAN Xavier | 62 |
| 105 | GABRIEL Frédéric | 60 |