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 = 0.4 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Boardman
1
70 kgDomínguez
2
64 kgGamito
4
66 kgMoreau
5
71 kgEkimov
6
69 kgAndersson
7
71 kgMauri
8
68 kgChanteur
9
62 kgUllrich
10
73 kgRous
11
70 kgStephens
12
65 kgPadrnos
13
81 kgPetito
15
78 kgCasagrande
16
64 kgBreukink
17
70 kgJalabert
18
66 kgSivakov
19
72 kgLafis
20
78 kg
1
70 kgDomínguez
2
64 kgGamito
4
66 kgMoreau
5
71 kgEkimov
6
69 kgAndersson
7
71 kgMauri
8
68 kgChanteur
9
62 kgUllrich
10
73 kgRous
11
70 kgStephens
12
65 kgPadrnos
13
81 kgPetito
15
78 kgCasagrande
16
64 kgBreukink
17
70 kgJalabert
18
66 kgSivakov
19
72 kgLafis
20
78 kg
Weight (KG) →
Result →
81
62
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOARDMAN Chris | 70 |
| 2 | DOMÍNGUEZ Juan Carlos | 64 |
| 4 | GAMITO Vitor | 66 |
| 5 | MOREAU Christophe | 71 |
| 6 | EKIMOV Viatcheslav | 69 |
| 7 | ANDERSSON Michael | 71 |
| 8 | MAURI Melchor | 68 |
| 9 | CHANTEUR Pascal | 62 |
| 10 | ULLRICH Jan | 73 |
| 11 | ROUS Didier | 70 |
| 12 | STEPHENS Neil | 65 |
| 13 | PADRNOS Pavel | 81 |
| 15 | PETITO Roberto | 78 |
| 16 | CASAGRANDE Francesco | 64 |
| 17 | BREUKINK Erik | 70 |
| 18 | JALABERT Laurent | 66 |
| 19 | SIVAKOV Alexei | 72 |
| 20 | LAFIS Michel | 78 |