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 = 0.8 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Ribeiro
3
59 kgEdo
6
64 kgGarcía Dapena
8
73 kgGarrido
9
70 kgPaulinho
16
64 kgSabido
17
70 kgBrôco
19
66 kgPalomares
30
56 kgPires
33
63 kgPetrov
35
63 kgSousa
37
59 kgBarbosa
40
72 kgDueñas
43
61 kgPlaza
51
68 kgCésar Veloso
52
69 kgMorajko
53
65 kgMosquera
64
65 kgDos Santos
66
62 kgGarcía
69
80 kgMarque
74
68 kg
3
59 kgEdo
6
64 kgGarcía Dapena
8
73 kgGarrido
9
70 kgPaulinho
16
64 kgSabido
17
70 kgBrôco
19
66 kgPalomares
30
56 kgPires
33
63 kgPetrov
35
63 kgSousa
37
59 kgBarbosa
40
72 kgDueñas
43
61 kgPlaza
51
68 kgCésar Veloso
52
69 kgMorajko
53
65 kgMosquera
64
65 kgDos Santos
66
62 kgGarcía
69
80 kgMarque
74
68 kg
Weight (KG) →
Result →
80
56
3
74
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | RIBEIRO Nuno | 59 |
| 6 | EDO Ángel | 64 |
| 8 | GARCÍA DAPENA David | 73 |
| 9 | GARRIDO Martin Gerardo | 70 |
| 16 | PAULINHO Sérgio Miguel | 64 |
| 17 | SABIDO Hugo | 70 |
| 19 | BRÔCO Hernâni | 66 |
| 30 | PALOMARES Adrián | 56 |
| 33 | PIRES Bruno | 63 |
| 35 | PETROV Danail Andonov | 63 |
| 37 | SOUSA Rui | 59 |
| 40 | BARBOSA Cândido | 72 |
| 43 | DUEÑAS Moisés | 61 |
| 51 | PLAZA David | 68 |
| 52 | CÉSAR VELOSO Gustavo | 69 |
| 53 | MORAJKO Jacek | 65 |
| 64 | MOSQUERA Ezequiel | 65 |
| 66 | DOS SANTOS Virgílio Martins | 62 |
| 69 | GARCÍA Francisco Tomás | 80 |
| 74 | MARQUE Alejandro Manuel | 68 |