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 = 0.7 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Petrov
1
63 kgPires
2
63 kgBrôco
3
66 kgSabido
9
70 kgGarcía
11
80 kgPalomares
13
56 kgPlaza
15
68 kgDos Santos
17
62 kgMorajko
18
65 kgDueñas
20
61 kgRibeiro
23
59 kgSousa
25
59 kgPaulinho
31
64 kgBarbosa
32
72 kgMosquera
41
65 kgGarcía Dapena
45
73 kgEdo
56
64 kgLaguna
60
61 kgMarque
70
68 kgCésar Veloso
71
69 kgGarrido
72
70 kg
1
63 kgPires
2
63 kgBrôco
3
66 kgSabido
9
70 kgGarcía
11
80 kgPalomares
13
56 kgPlaza
15
68 kgDos Santos
17
62 kgMorajko
18
65 kgDueñas
20
61 kgRibeiro
23
59 kgSousa
25
59 kgPaulinho
31
64 kgBarbosa
32
72 kgMosquera
41
65 kgGarcía Dapena
45
73 kgEdo
56
64 kgLaguna
60
61 kgMarque
70
68 kgCésar Veloso
71
69 kgGarrido
72
70 kg
Weight (KG) →
Result →
80
56
1
72
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PETROV Danail Andonov | 63 |
| 2 | PIRES Bruno | 63 |
| 3 | BRÔCO Hernâni | 66 |
| 9 | SABIDO Hugo | 70 |
| 11 | GARCÍA Francisco Tomás | 80 |
| 13 | PALOMARES Adrián | 56 |
| 15 | PLAZA David | 68 |
| 17 | DOS SANTOS Virgílio Martins | 62 |
| 18 | MORAJKO Jacek | 65 |
| 20 | DUEÑAS Moisés | 61 |
| 23 | RIBEIRO Nuno | 59 |
| 25 | SOUSA Rui | 59 |
| 31 | PAULINHO Sérgio Miguel | 64 |
| 32 | BARBOSA Cândido | 72 |
| 41 | MOSQUERA Ezequiel | 65 |
| 45 | GARCÍA DAPENA David | 73 |
| 56 | EDO Ángel | 64 |
| 60 | LAGUNA Oscar | 61 |
| 70 | MARQUE Alejandro Manuel | 68 |
| 71 | CÉSAR VELOSO Gustavo | 69 |
| 72 | GARRIDO Martin Gerardo | 70 |