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 = -0.5 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Merckx
2
74 kgPoulidor
3
71 kgGimondi
5
78 kgPfenninger
9
70 kgVan Impe
12
59 kg
2
74 kgPoulidor
3
71 kgGimondi
5
78 kgPfenninger
9
70 kgVan Impe
12
59 kg
Weight (KG) →
Result →
78
59
2
12
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MERCKX Eddy | 74 |
| 3 | POULIDOR Raymond | 71 |
| 5 | GIMONDI Felice | 78 |
| 9 | PFENNINGER Louis | 70 |
| 12 | VAN IMPE Lucien | 59 |