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 + 44
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Merckx
2
74 kgGimondi
7
78 kgZoetemelk
10
68 kgPfenninger
12
70 kgVan Impe
13
59 kgBalmamion
15
67 kg
2
74 kgGimondi
7
78 kgZoetemelk
10
68 kgPfenninger
12
70 kgVan Impe
13
59 kgBalmamion
15
67 kg
Weight (KG) →
Result →
78
59
2
15
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MERCKX Eddy | 74 |
| 7 | GIMONDI Felice | 78 |
| 10 | ZOETEMELK Joop | 68 |
| 12 | PFENNINGER Louis | 70 |
| 13 | VAN IMPE Lucien | 59 |
| 15 | BALMAMION Franco | 67 |