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 - 17
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
El Fares
1
62 kgBennati
2
71 kgCavendish
3
70 kgFarrar
4
73 kgScarponi
5
62 kgGarzelli
6
62 kgPetacchi
7
70 kgRodríguez
8
58 kgLöfkvist
9
70 kgKlöden
10
63 kgRebellin
11
63 kgDi Luca
12
61 kgBoonen
13
82 kgDuma
14
64 kgPaolini
15
66 kgIgnatiev
16
67 kgKrivtsov
17
72 kgDevolder
18
72 kgCooke
19
75 kgO'Grady
20
73 kgLongo Borghini
21
76 kg
1
62 kgBennati
2
71 kgCavendish
3
70 kgFarrar
4
73 kgScarponi
5
62 kgGarzelli
6
62 kgPetacchi
7
70 kgRodríguez
8
58 kgLöfkvist
9
70 kgKlöden
10
63 kgRebellin
11
63 kgDi Luca
12
61 kgBoonen
13
82 kgDuma
14
64 kgPaolini
15
66 kgIgnatiev
16
67 kgKrivtsov
17
72 kgDevolder
18
72 kgCooke
19
75 kgO'Grady
20
73 kgLongo Borghini
21
76 kg
Weight (KG) →
Result →
82
58
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EL FARES Julien | 62 |
| 2 | BENNATI Daniele | 71 |
| 3 | CAVENDISH Mark | 70 |
| 4 | FARRAR Tyler | 73 |
| 5 | SCARPONI Michele | 62 |
| 6 | GARZELLI Stefano | 62 |
| 7 | PETACCHI Alessandro | 70 |
| 8 | RODRÍGUEZ Joaquim | 58 |
| 9 | LÖFKVIST Thomas | 70 |
| 10 | KLÖDEN Andreas | 63 |
| 11 | REBELLIN Davide | 63 |
| 12 | DI LUCA Danilo | 61 |
| 13 | BOONEN Tom | 82 |
| 14 | DUMA Vladimir | 64 |
| 15 | PAOLINI Luca | 66 |
| 16 | IGNATIEV Mikhail | 67 |
| 17 | KRIVTSOV Yuriy | 72 |
| 18 | DEVOLDER Stijn | 72 |
| 19 | COOKE Baden | 75 |
| 20 | O'GRADY Stuart | 73 |
| 21 | LONGO BORGHINI Paolo | 76 |