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 = 0.4 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Mota
1
62 kgAndrade
3
64 kgViegas
4
70 kgLeitão
5
65 kgSalgueiro
8
68 kgPinto
9
68 kgLopes
10
68 kgMorais
11
68 kgCaixas
12
66 kgSilva
13
60 kgBarbosa
14
65 kgPinheiro
16
71 kgNarciso
17
72 kgEulálio
18
62 kgMacedo
19
66 kgSimão
21
61 kgGonçalves
22
75 kgRocha
29
72 kgSilva
30
64 kg
1
62 kgAndrade
3
64 kgViegas
4
70 kgLeitão
5
65 kgSalgueiro
8
68 kgPinto
9
68 kgLopes
10
68 kgMorais
11
68 kgCaixas
12
66 kgSilva
13
60 kgBarbosa
14
65 kgPinheiro
16
71 kgNarciso
17
72 kgEulálio
18
62 kgMacedo
19
66 kgSimão
21
61 kgGonçalves
22
75 kgRocha
29
72 kgSilva
30
64 kg
Weight (KG) →
Result →
75
60
1
30
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOTA Guilherme | 62 |
| 3 | ANDRADE Pedro | 64 |
| 4 | VIEGAS Daniel | 70 |
| 5 | LEITÃO Iúri | 65 |
| 8 | SALGUEIRO Carlos Miguel | 68 |
| 9 | PINTO Pedro | 68 |
| 10 | LOPES Pedro Miguel | 68 |
| 11 | MORAIS Francisco | 68 |
| 12 | CAIXAS Rodrigo | 66 |
| 13 | SILVA Afonso | 60 |
| 14 | BARBOSA Diogo | 65 |
| 16 | PINHEIRO Ivo | 71 |
| 17 | NARCISO Diogo | 72 |
| 18 | EULÁLIO Afonso | 62 |
| 19 | MACEDO João | 66 |
| 21 | SIMÃO Guilherme | 61 |
| 22 | GONÇALVES Bernardo | 75 |
| 29 | ROCHA Joao | 72 |
| 30 | SILVA Luís | 64 |