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 = 0.1 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Martinez
1
67 kgAzevedo
2
59 kgGamito
3
66 kgTauler
4
74 kgRich
6
82 kgTonkov
8
70 kgOsa
9
64 kg
1
67 kgAzevedo
2
59 kgGamito
3
66 kgTauler
4
74 kgRich
6
82 kgTonkov
8
70 kgOsa
9
64 kg
Weight (KG) →
Result →
82
59
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTINEZ José Alberto | 67 |
| 2 | AZEVEDO José Bento | 59 |
| 3 | GAMITO Vitor | 66 |
| 4 | TAULER Toni | 74 |
| 6 | RICH Michael | 82 |
| 8 | TONKOV Pavel | 70 |
| 9 | OSA Aitor | 64 |