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 + 8
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Sabido
1
70 kgEdo
5
64 kgPires
15
63 kgMarque
17
68 kgBarbosa
20
72 kgPalomares
21
56 kgGarrido
24
70 kgCésar Veloso
25
69 kgDueñas
31
61 kgPetrov
34
63 kgSousa
35
59 kgLaguna
37
61 kgPlaza
45
68 kgMorajko
47
65 kgMosquera
50
65 kgRibeiro
53
59 kgBrôco
54
66 kgGarcía Dapena
56
73 kgDos Santos
66
62 kgGarcía
71
80 kgPaulinho
72
64 kg
1
70 kgEdo
5
64 kgPires
15
63 kgMarque
17
68 kgBarbosa
20
72 kgPalomares
21
56 kgGarrido
24
70 kgCésar Veloso
25
69 kgDueñas
31
61 kgPetrov
34
63 kgSousa
35
59 kgLaguna
37
61 kgPlaza
45
68 kgMorajko
47
65 kgMosquera
50
65 kgRibeiro
53
59 kgBrôco
54
66 kgGarcía Dapena
56
73 kgDos Santos
66
62 kgGarcía
71
80 kgPaulinho
72
64 kg
Weight (KG) →
Result →
80
56
1
72
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SABIDO Hugo | 70 |
| 5 | EDO Ángel | 64 |
| 15 | PIRES Bruno | 63 |
| 17 | MARQUE Alejandro Manuel | 68 |
| 20 | BARBOSA Cândido | 72 |
| 21 | PALOMARES Adrián | 56 |
| 24 | GARRIDO Martin Gerardo | 70 |
| 25 | CÉSAR VELOSO Gustavo | 69 |
| 31 | DUEÑAS Moisés | 61 |
| 34 | PETROV Danail Andonov | 63 |
| 35 | SOUSA Rui | 59 |
| 37 | LAGUNA Oscar | 61 |
| 45 | PLAZA David | 68 |
| 47 | MORAJKO Jacek | 65 |
| 50 | MOSQUERA Ezequiel | 65 |
| 53 | RIBEIRO Nuno | 59 |
| 54 | BRÔCO Hernâni | 66 |
| 56 | GARCÍA DAPENA David | 73 |
| 66 | DOS SANTOS Virgílio Martins | 62 |
| 71 | GARCÍA Francisco Tomás | 80 |
| 72 | PAULINHO Sérgio Miguel | 64 |