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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Sergeant
3
76 kgHeirweg
4
73 kgWampers
6
82 kgHoste
7
76 kgDe Wolf
9
75 kgVan Avermaet
15
75 kg
3
76 kgHeirweg
4
73 kgWampers
6
82 kgHoste
7
76 kgDe Wolf
9
75 kgVan Avermaet
15
75 kg
Weight (KG) →
Result →
82
73
3
15
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SERGEANT Marc | 76 |
| 4 | HEIRWEG Dirk | 73 |
| 6 | WAMPERS Jean-Marie | 82 |
| 7 | HOSTE Frank | 76 |
| 9 | DE WOLF Fons | 75 |
| 15 | VAN AVERMAET Ronald | 75 |