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 - 12
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Rodríguez
1
58 kgHeras
3
59 kgMenchov
4
65 kgMancebo
5
64 kgGarcía Quesada
6
63 kgSastre
7
61 kgCuesta
8
62 kgLastras
9
68 kgSimoni
10
59 kgPereiro
11
67 kgLaiseka
12
63 kgArdila
13
58 kgZaballa
16
66 kgVerbrugghe
17
70 kgSánchez
18
65 kgScheirlinckx
20
78 kgScarponi
21
62 kgBeloki
22
68 kgAerts
23
68 kgMercado
24
56 kgVicioso
25
60 kg
1
58 kgHeras
3
59 kgMenchov
4
65 kgMancebo
5
64 kgGarcía Quesada
6
63 kgSastre
7
61 kgCuesta
8
62 kgLastras
9
68 kgSimoni
10
59 kgPereiro
11
67 kgLaiseka
12
63 kgArdila
13
58 kgZaballa
16
66 kgVerbrugghe
17
70 kgSánchez
18
65 kgScheirlinckx
20
78 kgScarponi
21
62 kgBeloki
22
68 kgAerts
23
68 kgMercado
24
56 kgVicioso
25
60 kg
Weight (KG) →
Result →
78
56
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RODRÍGUEZ Joaquim | 58 |
| 3 | HERAS Roberto | 59 |
| 4 | MENCHOV Denis | 65 |
| 5 | MANCEBO Francisco | 64 |
| 6 | GARCÍA QUESADA Carlos | 63 |
| 7 | SASTRE Carlos | 61 |
| 8 | CUESTA Iñigo | 62 |
| 9 | LASTRAS Pablo | 68 |
| 10 | SIMONI Gilberto | 59 |
| 11 | PEREIRO Óscar | 67 |
| 12 | LAISEKA Roberto | 63 |
| 13 | ARDILA Mauricio Alberto | 58 |
| 16 | ZABALLA Constantino | 66 |
| 17 | VERBRUGGHE Rik | 70 |
| 18 | SÁNCHEZ Samuel | 65 |
| 20 | SCHEIRLINCKX Staf | 78 |
| 21 | SCARPONI Michele | 62 |
| 22 | BELOKI Joseba | 68 |
| 23 | AERTS Mario | 68 |
| 24 | MERCADO Juan Miguel | 56 |
| 25 | VICIOSO Ángel | 60 |