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 = -0.3 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
González
1
65 kgPelegrí
2
63 kgBarthe
3
70 kgStacchiotti
4
70 kgMatias
5
72 kgAlarcón
6
72 kgde la Fuente
7
67 kgCuadros
8
67 kgFonte
9
60 kgPinto
10
58 kgPage
11
64 kgLópez
13
70 kgSilva
15
65 kgSilva
16
59 kgCarvalho
18
66 kgCampos
19
60 kgToffali
20
75 kgNeves
21
61 kgIrisarri
22
66 kgUdondo
23
69 kgFerrari
24
64 kgMartingil
25
67 kgIribar
26
64 kg
1
65 kgPelegrí
2
63 kgBarthe
3
70 kgStacchiotti
4
70 kgMatias
5
72 kgAlarcón
6
72 kgde la Fuente
7
67 kgCuadros
8
67 kgFonte
9
60 kgPinto
10
58 kgPage
11
64 kgLópez
13
70 kgSilva
15
65 kgSilva
16
59 kgCarvalho
18
66 kgCampos
19
60 kgToffali
20
75 kgNeves
21
61 kgIrisarri
22
66 kgUdondo
23
69 kgFerrari
24
64 kgMartingil
25
67 kgIribar
26
64 kg
Weight (KG) →
Result →
75
58
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GONZÁLEZ Mario | 65 |
| 2 | PELEGRÍ Óscar | 63 |
| 3 | BARTHE Cyril | 70 |
| 4 | STACCHIOTTI Riccardo | 70 |
| 5 | MATIAS João | 72 |
| 6 | ALARCÓN Raúl | 72 |
| 7 | DE LA FUENTE David | 67 |
| 8 | CUADROS Álvaro | 67 |
| 9 | FONTE César | 60 |
| 10 | PINTO Edgar | 58 |
| 11 | PAGE Dylan | 64 |
| 13 | LÓPEZ Diego | 70 |
| 15 | SILVA Rafael | 65 |
| 16 | SILVA Bruno | 59 |
| 18 | CARVALHO André | 66 |
| 19 | CAMPOS Francisco | 60 |
| 20 | TOFFALI Nicola | 75 |
| 21 | NEVES José | 61 |
| 22 | IRISARRI Jon | 66 |
| 23 | UDONDO Gotzon | 69 |
| 24 | FERRARI Fabricio | 64 |
| 25 | MARTINGIL César | 67 |
| 26 | IRIBAR Unai | 64 |