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 = 1 * weight - 30
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Edo
3
64 kgSabido
5
70 kgGarrido
10
70 kgPaulinho
11
64 kgBarbosa
16
72 kgMorajko
17
65 kgPalomares
24
56 kgPetrov
25
63 kgDueñas
32
61 kgSousa
34
59 kgPires
35
63 kgLaguna
39
61 kgRibeiro
41
59 kgBrôco
46
66 kgPlaza
48
68 kgMosquera
53
65 kgDos Santos
55
62 kgGarcía
62
80 kgMarque
64
68 kgGarcía Dapena
70
73 kgCésar Veloso
73
69 kg
3
64 kgSabido
5
70 kgGarrido
10
70 kgPaulinho
11
64 kgBarbosa
16
72 kgMorajko
17
65 kgPalomares
24
56 kgPetrov
25
63 kgDueñas
32
61 kgSousa
34
59 kgPires
35
63 kgLaguna
39
61 kgRibeiro
41
59 kgBrôco
46
66 kgPlaza
48
68 kgMosquera
53
65 kgDos Santos
55
62 kgGarcía
62
80 kgMarque
64
68 kgGarcía Dapena
70
73 kgCésar Veloso
73
69 kg
Weight (KG) →
Result →
80
56
3
73
# | Rider | Weight (KG) |
---|---|---|
3 | EDO Ángel | 64 |
5 | SABIDO Hugo | 70 |
10 | GARRIDO Martin Gerardo | 70 |
11 | PAULINHO Sérgio Miguel | 64 |
16 | BARBOSA Cândido | 72 |
17 | MORAJKO Jacek | 65 |
24 | PALOMARES Adrián | 56 |
25 | PETROV Danail Andonov | 63 |
32 | DUEÑAS Moisés | 61 |
34 | SOUSA Rui | 59 |
35 | PIRES Bruno | 63 |
39 | LAGUNA Oscar | 61 |
41 | RIBEIRO Nuno | 59 |
46 | BRÔCO Hernâni | 66 |
48 | PLAZA David | 68 |
53 | MOSQUERA Ezequiel | 65 |
55 | DOS SANTOS Virgílio Martins | 62 |
62 | GARCÍA Francisco Tomás | 80 |
64 | MARQUE Alejandro Manuel | 68 |
70 | GARCÍA DAPENA David | 73 |
73 | CÉSAR VELOSO Gustavo | 69 |