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 - 14
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Petacchi
1
70 kgGarzelli
2
62 kgMenchov
3
65 kgLaguna
4
61 kgEdo
5
64 kgPérez
6
61 kgFerrío
7
51 kgZaballa
8
66 kgHruška
9
62 kgParra
10
62 kgJufré
11
65 kgPiepoli
12
54 kgGlomser
13
67 kgBaguet
16
67 kgKarpets
17
79 kgVelo
18
70 kgGutiérrez
19
78 kgMasciarelli
20
63 kgMancebo
21
64 kgTorrent
22
71 kgVerbrugghe
24
70 kgContador
25
61 kg
1
70 kgGarzelli
2
62 kgMenchov
3
65 kgLaguna
4
61 kgEdo
5
64 kgPérez
6
61 kgFerrío
7
51 kgZaballa
8
66 kgHruška
9
62 kgParra
10
62 kgJufré
11
65 kgPiepoli
12
54 kgGlomser
13
67 kgBaguet
16
67 kgKarpets
17
79 kgVelo
18
70 kgGutiérrez
19
78 kgMasciarelli
20
63 kgMancebo
21
64 kgTorrent
22
71 kgVerbrugghe
24
70 kgContador
25
61 kg
Weight (KG) →
Result →
79
51
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PETACCHI Alessandro | 70 |
| 2 | GARZELLI Stefano | 62 |
| 3 | MENCHOV Denis | 65 |
| 4 | LAGUNA Oscar | 61 |
| 5 | EDO Ángel | 64 |
| 6 | PÉREZ Santiago | 61 |
| 7 | FERRÍO Jorge | 51 |
| 8 | ZABALLA Constantino | 66 |
| 9 | HRUŠKA Jan | 62 |
| 10 | PARRA Iván Ramiro | 62 |
| 11 | JUFRÉ Josep | 65 |
| 12 | PIEPOLI Leonardo | 54 |
| 13 | GLOMSER Gerrit | 67 |
| 16 | BAGUET Serge | 67 |
| 17 | KARPETS Vladimir | 79 |
| 18 | VELO Marco | 70 |
| 19 | GUTIÉRREZ José Enrique | 78 |
| 20 | MASCIARELLI Simone | 63 |
| 21 | MANCEBO Francisco | 64 |
| 22 | TORRENT Carlos | 71 |
| 24 | VERBRUGGHE Rik | 70 |
| 25 | CONTADOR Alberto | 61 |