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 = -0.2 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Hushovd
1
83 kgMezgec
2
72 kgMaes
3
78 kgWauters
4
66 kgPetacchi
5
70 kgMatthews
6
72 kgSanz
7
67 kgSelig
8
80 kgCordeel
9
80 kgBouhanni
10
65 kgViganò
11
67 kgvan Genechten
12
67 kgFerrari
13
73 kgTsatevich
14
64 kgVon Hoff
16
70 kgHutarovich
17
71 kgvan Hummel
18
64 kgMol
19
83 kgLe Bon
20
70 kg
1
83 kgMezgec
2
72 kgMaes
3
78 kgWauters
4
66 kgPetacchi
5
70 kgMatthews
6
72 kgSanz
7
67 kgSelig
8
80 kgCordeel
9
80 kgBouhanni
10
65 kgViganò
11
67 kgvan Genechten
12
67 kgFerrari
13
73 kgTsatevich
14
64 kgVon Hoff
16
70 kgHutarovich
17
71 kgvan Hummel
18
64 kgMol
19
83 kgLe Bon
20
70 kg
Weight (KG) →
Result →
83
64
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HUSHOVD Thor | 83 |
| 2 | MEZGEC Luka | 72 |
| 3 | MAES Nikolas | 78 |
| 4 | WAUTERS Willem | 66 |
| 5 | PETACCHI Alessandro | 70 |
| 6 | MATTHEWS Michael | 72 |
| 7 | SANZ Enrique | 67 |
| 8 | SELIG Rüdiger | 80 |
| 9 | CORDEEL Sander | 80 |
| 10 | BOUHANNI Nacer | 65 |
| 11 | VIGANÒ Davide | 67 |
| 12 | VAN GENECHTEN Jonas | 67 |
| 13 | FERRARI Roberto | 73 |
| 14 | TSATEVICH Alexey | 64 |
| 16 | VON HOFF Steele | 70 |
| 17 | HUTAROVICH Yauheni | 71 |
| 18 | VAN HUMMEL Kenny | 64 |
| 19 | MOL Wouter | 83 |
| 20 | LE BON Johan | 70 |