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 = 0.8 * weight - 43
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Brochard
1
68 kgRodrigues
2
68 kgHamburger
3
58 kgRobin
4
63 kgCasero
5
72 kgBaffi
7
70 kgAldag
8
75 kgTeteriouk
9
72 kgMoncassin
10
73 kgVoskamp
11
75 kgFarazijn
13
69 kgMoerenhout
14
74 kgVasseur
15
70 kgSimon
16
70 kgSerpellini
17
75 kgVoigt
18
76 kgMillar
19
79 kgVan Hyfte
20
70 kg
1
68 kgRodrigues
2
68 kgHamburger
3
58 kgRobin
4
63 kgCasero
5
72 kgBaffi
7
70 kgAldag
8
75 kgTeteriouk
9
72 kgMoncassin
10
73 kgVoskamp
11
75 kgFarazijn
13
69 kgMoerenhout
14
74 kgVasseur
15
70 kgSimon
16
70 kgSerpellini
17
75 kgVoigt
18
76 kgMillar
19
79 kgVan Hyfte
20
70 kg
Weight (KG) →
Result →
79
58
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BROCHARD Laurent | 68 |
| 2 | RODRIGUES Orlando Sergio | 68 |
| 3 | HAMBURGER Bo | 58 |
| 4 | ROBIN Jean-Cyril | 63 |
| 5 | CASERO Ángel Luis | 72 |
| 7 | BAFFI Adriano | 70 |
| 8 | ALDAG Rolf | 75 |
| 9 | TETERIOUK Andrei | 72 |
| 10 | MONCASSIN Frédéric | 73 |
| 11 | VOSKAMP Bart | 75 |
| 13 | FARAZIJN Peter | 69 |
| 14 | MOERENHOUT Koos | 74 |
| 15 | VASSEUR Cédric | 70 |
| 16 | SIMON François | 70 |
| 17 | SERPELLINI Marco | 75 |
| 18 | VOIGT Jens | 76 |
| 19 | MILLAR David | 79 |
| 20 | VAN HYFTE Paul | 70 |