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 = 0.9 * weight - 33
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Petrov
1
63 kgBrôco
5
66 kgPlaza
7
68 kgPires
8
63 kgSabido
10
70 kgPalomares
12
56 kgMorajko
13
65 kgRibeiro
16
59 kgGarcía
17
80 kgDos Santos
18
62 kgPaulinho
20
64 kgBarbosa
22
72 kgSousa
25
59 kgDueñas
29
61 kgMosquera
38
65 kgEdo
44
64 kgGarcía Dapena
56
73 kgGarrido
63
70 kgMarque
64
68 kg
1
63 kgBrôco
5
66 kgPlaza
7
68 kgPires
8
63 kgSabido
10
70 kgPalomares
12
56 kgMorajko
13
65 kgRibeiro
16
59 kgGarcía
17
80 kgDos Santos
18
62 kgPaulinho
20
64 kgBarbosa
22
72 kgSousa
25
59 kgDueñas
29
61 kgMosquera
38
65 kgEdo
44
64 kgGarcía Dapena
56
73 kgGarrido
63
70 kgMarque
64
68 kg
Weight (KG) →
Result →
80
56
1
64
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PETROV Danail Andonov | 63 |
| 5 | BRÔCO Hernâni | 66 |
| 7 | PLAZA David | 68 |
| 8 | PIRES Bruno | 63 |
| 10 | SABIDO Hugo | 70 |
| 12 | PALOMARES Adrián | 56 |
| 13 | MORAJKO Jacek | 65 |
| 16 | RIBEIRO Nuno | 59 |
| 17 | GARCÍA Francisco Tomás | 80 |
| 18 | DOS SANTOS Virgílio Martins | 62 |
| 20 | PAULINHO Sérgio Miguel | 64 |
| 22 | BARBOSA Cândido | 72 |
| 25 | SOUSA Rui | 59 |
| 29 | DUEÑAS Moisés | 61 |
| 38 | MOSQUERA Ezequiel | 65 |
| 44 | EDO Ángel | 64 |
| 56 | GARCÍA DAPENA David | 73 |
| 63 | GARRIDO Martin Gerardo | 70 |
| 64 | MARQUE Alejandro Manuel | 68 |