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 = 0.3 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Casimiro
1
62 kgNeves
2
61 kgFigueiredo
3
56 kgVinhas
6
59 kgPaulinho
7
64 kgIsidoro
9
63 kgde la Fuente
10
67 kgCésar Veloso
11
69 kgMadrazo
12
61 kgRodrigues
13
60 kgSalgueiro
14
68 kgSancho
15
61 kgBerrade
16
72 kgSilva
18
60 kgBravo
19
61 kgBarbio
20
61 kgZabala
21
61 kg
1
62 kgNeves
2
61 kgFigueiredo
3
56 kgVinhas
6
59 kgPaulinho
7
64 kgIsidoro
9
63 kgde la Fuente
10
67 kgCésar Veloso
11
69 kgMadrazo
12
61 kgRodrigues
13
60 kgSalgueiro
14
68 kgSancho
15
61 kgBerrade
16
72 kgSilva
18
60 kgBravo
19
61 kgBarbio
20
61 kgZabala
21
61 kg
Weight (KG) →
Result →
72
56
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CASIMIRO Henrique | 62 |
| 2 | NEVES José | 61 |
| 3 | FIGUEIREDO Frederico | 56 |
| 6 | VINHAS Rui | 59 |
| 7 | PAULINHO Sérgio Miguel | 64 |
| 9 | ISIDORO Micael | 63 |
| 10 | DE LA FUENTE David | 67 |
| 11 | CÉSAR VELOSO Gustavo | 69 |
| 12 | MADRAZO Ángel | 61 |
| 13 | RODRIGUES David Miguel Costa | 60 |
| 14 | SALGUEIRO Carlos Miguel | 68 |
| 15 | SANCHO Hugo | 61 |
| 16 | BERRADE Urko | 72 |
| 18 | SILVA Afonso | 60 |
| 19 | BRAVO Garikoitz | 61 |
| 20 | BARBIO António | 61 |
| 21 | ZABALA Josu | 61 |