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 = -3.1 * weight + 236
This means that on average for every extra kilogram weight a rider loses -3.1 positions in the result.
Sukhoruchenkov
2
72 kgRoche
6
74 kgJourdan
28
64 kgOvion
29
64 kgMadiot
30
68 kgRíos
42
63 kgGlaus
46
67 kg
2
72 kgRoche
6
74 kgJourdan
28
64 kgOvion
29
64 kgMadiot
30
68 kgRíos
42
63 kgGlaus
46
67 kg
Weight (KG) →
Result →
74
63
2
46
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SUKHORUCHENKOV Sergei | 72 |
| 6 | ROCHE Stephen | 74 |
| 28 | JOURDAN Christian | 64 |
| 29 | OVION Régis | 64 |
| 30 | MADIOT Marc | 68 |
| 42 | RÍOS Abelardo Antonio | 63 |
| 46 | GLAUS Gilbert | 67 |