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 = -0.2 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Andrade
1
64 kgCosta
2
62 kgLopes
4
68 kgSilva
6
60 kgGuerreiro
7
60 kgNarciso
8
72 kgEulálio
9
62 kgMacedo
10
66 kgPinto
11
68 kgSilva
12
67 kgGonçalves
15
55 kgSousa
16
61 kgSalgueiro
18
68 kgSalgado
20
65 kgMachado
21
62 kgCaixas
24
66 kgRodrigues
25
59 kgBarbosa
26
65 kg
1
64 kgCosta
2
62 kgLopes
4
68 kgSilva
6
60 kgGuerreiro
7
60 kgNarciso
8
72 kgEulálio
9
62 kgMacedo
10
66 kgPinto
11
68 kgSilva
12
67 kgGonçalves
15
55 kgSousa
16
61 kgSalgueiro
18
68 kgSalgado
20
65 kgMachado
21
62 kgCaixas
24
66 kgRodrigues
25
59 kgBarbosa
26
65 kg
Weight (KG) →
Result →
72
55
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANDRADE Pedro | 64 |
| 2 | COSTA Fábio | 62 |
| 4 | LOPES Pedro Miguel | 68 |
| 6 | SILVA Afonso | 60 |
| 7 | GUERREIRO Francisco | 60 |
| 8 | NARCISO Diogo | 72 |
| 9 | EULÁLIO Afonso | 62 |
| 10 | MACEDO João | 66 |
| 11 | PINTO Pedro | 68 |
| 12 | SILVA Pedro | 67 |
| 15 | GONÇALVES Hélder | 55 |
| 16 | SOUSA José | 61 |
| 18 | SALGUEIRO Carlos Miguel | 68 |
| 20 | SALGADO João | 65 |
| 21 | MACHADO Ricardo | 62 |
| 24 | CAIXAS Rodrigo | 66 |
| 25 | RODRIGUES Vinicio | 59 |
| 26 | BARBOSA Diogo | 65 |