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 + 34
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Alarcón
1
72 kgCaldeira
2
76 kgAntunes
3
58 kgParrinello
4
68 kgFonte
5
60 kgde la Fuente
6
67 kgPoulhiès
7
75 kgGarcía de Mateos
8
68 kgLowndes
9
82 kgNocentini
11
60 kgLienhard
12
73 kgUdondo
14
69 kgRebellin
15
63 kgGonçalves
16
70 kgCésar Veloso
17
69 kgDi Sante
19
62 kgMarque
20
68 kgRotondi
21
63 kgRodrigues
22
69 kgPaulinho
23
64 kgGoldstein
26
63 kg
1
72 kgCaldeira
2
76 kgAntunes
3
58 kgParrinello
4
68 kgFonte
5
60 kgde la Fuente
6
67 kgPoulhiès
7
75 kgGarcía de Mateos
8
68 kgLowndes
9
82 kgNocentini
11
60 kgLienhard
12
73 kgUdondo
14
69 kgRebellin
15
63 kgGonçalves
16
70 kgCésar Veloso
17
69 kgDi Sante
19
62 kgMarque
20
68 kgRotondi
21
63 kgRodrigues
22
69 kgPaulinho
23
64 kgGoldstein
26
63 kg
Weight (KG) →
Result →
82
58
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ALARCÓN Raúl | 72 |
| 2 | CALDEIRA Samuel José | 76 |
| 3 | ANTUNES Amaro | 58 |
| 4 | PARRINELLO Antonino | 68 |
| 5 | FONTE César | 60 |
| 6 | DE LA FUENTE David | 67 |
| 7 | POULHIÈS Stéphane | 75 |
| 8 | GARCÍA DE MATEOS Vicente | 68 |
| 9 | LOWNDES Jason | 82 |
| 11 | NOCENTINI Rinaldo | 60 |
| 12 | LIENHARD Fabian | 73 |
| 14 | UDONDO Gotzon | 69 |
| 15 | REBELLIN Davide | 63 |
| 16 | GONÇALVES Domingos | 70 |
| 17 | CÉSAR VELOSO Gustavo | 69 |
| 19 | DI SANTE Antonio | 62 |
| 20 | MARQUE Alejandro Manuel | 68 |
| 21 | ROTONDI Matteo | 63 |
| 22 | RODRIGUES Rui Emanuel | 69 |
| 23 | PAULINHO Sérgio Miguel | 64 |
| 26 | GOLDSTEIN Roy | 63 |