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 = 0.7 * weight - 34
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Fignon
1
67 kgArgentin
2
66 kgVan Impe
15
59 kgRoche
20
74 kgDe Wolf
21
75 kg
1
67 kgArgentin
2
66 kgVan Impe
15
59 kgRoche
20
74 kgDe Wolf
21
75 kg
Weight (KG) →
Result →
75
59
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FIGNON Laurent | 67 |
| 2 | ARGENTIN Moreno | 66 |
| 15 | VAN IMPE Lucien | 59 |
| 20 | ROCHE Stephen | 74 |
| 21 | DE WOLF Fons | 75 |