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 = -0.3 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Leoni
1
74 kgde Jongh
2
76 kgSarkauskas
3
74 kgHincapie
4
83 kgBoogerd
6
62 kgAzevedo
8
59 kgGonzález
9
69 kgBarthe
11
65 kgSchmidt
12
73 kgEdo
13
64 kgSousa
15
59 kgMauri
17
68 kgCancellara
18
80 kgJufré
19
65 kgChaurreau
21
60 kgEkimov
22
69 kgVierhouten
23
71 kgMartinez
24
67 kg
1
74 kgde Jongh
2
76 kgSarkauskas
3
74 kgHincapie
4
83 kgBoogerd
6
62 kgAzevedo
8
59 kgGonzález
9
69 kgBarthe
11
65 kgSchmidt
12
73 kgEdo
13
64 kgSousa
15
59 kgMauri
17
68 kgCancellara
18
80 kgJufré
19
65 kgChaurreau
21
60 kgEkimov
22
69 kgVierhouten
23
71 kgMartinez
24
67 kg
Weight (KG) →
Result →
83
59
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEONI Endrio | 74 |
| 2 | DE JONGH Steven | 76 |
| 3 | SARKAUSKAS Saulius | 74 |
| 4 | HINCAPIE George | 83 |
| 6 | BOOGERD Michael | 62 |
| 8 | AZEVEDO José Bento | 59 |
| 9 | GONZÁLEZ Aitor | 69 |
| 11 | BARTHE Stéphane | 65 |
| 12 | SCHMIDT Torsten | 73 |
| 13 | EDO Ángel | 64 |
| 15 | SOUSA Rui | 59 |
| 17 | MAURI Melchor | 68 |
| 18 | CANCELLARA Fabian | 80 |
| 19 | JUFRÉ Josep | 65 |
| 21 | CHAURREAU Íñigo | 60 |
| 22 | EKIMOV Viatcheslav | 69 |
| 23 | VIERHOUTEN Aart | 71 |
| 24 | MARTINEZ José Alberto | 67 |