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 = -0.6 * weight + 53
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Freire
1
63 kgKoerts
2
78 kgZülle
3
72 kgLombardi
5
73 kgSvorada
6
76 kgPetacchi
7
70 kgLeoni
8
74 kgOlano
10
70 kgHeras
12
59 kgZanotti
13
70 kgHruška
14
62 kgGarrido
15
70 kgGonzález de Galdeano
16
73 kgHondo
17
73 kgMoreni
18
65 kgPeña
20
65 kgGotti
21
65 kgCuesta
22
62 kgHervé
23
62 kgCasero
24
72 kg
1
63 kgKoerts
2
78 kgZülle
3
72 kgLombardi
5
73 kgSvorada
6
76 kgPetacchi
7
70 kgLeoni
8
74 kgOlano
10
70 kgHeras
12
59 kgZanotti
13
70 kgHruška
14
62 kgGarrido
15
70 kgGonzález de Galdeano
16
73 kgHondo
17
73 kgMoreni
18
65 kgPeña
20
65 kgGotti
21
65 kgCuesta
22
62 kgHervé
23
62 kgCasero
24
72 kg
Weight (KG) →
Result →
78
59
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FREIRE Óscar | 63 |
| 2 | KOERTS Jans | 78 |
| 3 | ZÜLLE Alex | 72 |
| 5 | LOMBARDI Giovanni | 73 |
| 6 | SVORADA Ján | 76 |
| 7 | PETACCHI Alessandro | 70 |
| 8 | LEONI Endrio | 74 |
| 10 | OLANO Abraham | 70 |
| 12 | HERAS Roberto | 59 |
| 13 | ZANOTTI Marco | 70 |
| 14 | HRUŠKA Jan | 62 |
| 15 | GARRIDO Martin Gerardo | 70 |
| 16 | GONZÁLEZ DE GALDEANO Igor | 73 |
| 17 | HONDO Danilo | 73 |
| 18 | MORENI Cristian | 65 |
| 20 | PEÑA Victor Hugo | 65 |
| 21 | GOTTI Ivan | 65 |
| 22 | CUESTA Iñigo | 62 |
| 23 | HERVÉ Pascal | 62 |
| 24 | CASERO Ángel Luis | 72 |