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 = -0.5 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Moreira
2
76 kgMatias
3
72 kgCarvalho
5
62 kgBarbio
8
61 kgFernández
9
69 kgSilva
10
66 kgLobato
12
64 kgFernandes
14
63 kgMartingil
15
67 kgOliveira
16
63 kgFigueiredo
17
56 kgGarcía
18
67 kgRosskopf
20
74 kgCardoso
22
56 kgMarque
23
68 kgSánchez
25
62 kgMurphy
26
67 kgGallego
27
62 kgMacedo
28
66 kg
2
76 kgMatias
3
72 kgCarvalho
5
62 kgBarbio
8
61 kgFernández
9
69 kgSilva
10
66 kgLobato
12
64 kgFernandes
14
63 kgMartingil
15
67 kgOliveira
16
63 kgFigueiredo
17
56 kgGarcía
18
67 kgRosskopf
20
74 kgCardoso
22
56 kgMarque
23
68 kgSánchez
25
62 kgMurphy
26
67 kgGallego
27
62 kgMacedo
28
66 kg
Weight (KG) →
Result →
76
56
2
28
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MOREIRA Mauricio | 76 |
| 3 | MATIAS João | 72 |
| 5 | CARVALHO Antonio | 62 |
| 8 | BARBIO António | 61 |
| 9 | FERNÁNDEZ Delio | 69 |
| 10 | SILVA Joaquim | 66 |
| 12 | LOBATO Juan José | 64 |
| 14 | FERNANDES Luís | 63 |
| 15 | MARTINGIL César | 67 |
| 16 | OLIVEIRA Fábio | 63 |
| 17 | FIGUEIREDO Frederico | 56 |
| 18 | GARCÍA José María | 67 |
| 20 | ROSSKOPF Joey | 74 |
| 22 | CARDOSO André | 56 |
| 23 | MARQUE Alejandro Manuel | 68 |
| 25 | SÁNCHEZ Pelayo | 62 |
| 26 | MURPHY Kyle | 67 |
| 27 | GALLEGO Alberto | 62 |
| 28 | MACEDO João | 66 |