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 = -0.7 * weight + 62
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Vandenbroucke
1
67 kgMarichal
2
72 kgDierckxsens
3
71 kgRebellin
4
63 kgVinokourov
6
68 kgStreel
7
69 kgDemarbaix
8
64 kgCretskens
9
75 kgFondriest
12
70 kgPiziks
20
70 kgPlanckaert
21
70 kgMattan
22
69 kgBossoni
24
62 kgDe Wolf
26
67 kgPlaza
28
68 kgBasso
29
70 kgSaugrain
30
62 kg
1
67 kgMarichal
2
72 kgDierckxsens
3
71 kgRebellin
4
63 kgVinokourov
6
68 kgStreel
7
69 kgDemarbaix
8
64 kgCretskens
9
75 kgFondriest
12
70 kgPiziks
20
70 kgPlanckaert
21
70 kgMattan
22
69 kgBossoni
24
62 kgDe Wolf
26
67 kgPlaza
28
68 kgBasso
29
70 kgSaugrain
30
62 kg
Weight (KG) →
Result →
75
62
1
30
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VANDENBROUCKE Frank | 67 |
| 2 | MARICHAL Thierry | 72 |
| 3 | DIERCKXSENS Ludo | 71 |
| 4 | REBELLIN Davide | 63 |
| 6 | VINOKOUROV Alexandre | 68 |
| 7 | STREEL Marc | 69 |
| 8 | DEMARBAIX Sébastien | 64 |
| 9 | CRETSKENS Wilfried | 75 |
| 12 | FONDRIEST Maurizio | 70 |
| 20 | PIZIKS Arvis | 70 |
| 21 | PLANCKAERT Jo | 70 |
| 22 | MATTAN Nico | 69 |
| 24 | BOSSONI Paolo | 62 |
| 26 | DE WOLF Steve | 67 |
| 28 | PLAZA David | 68 |
| 29 | BASSO Ivan | 70 |
| 30 | SAUGRAIN Cyril | 62 |