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 = 0.6 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
De Schuyteneer
5
74 kgDockx
10
61 kgVandenabeele
14
64 kgVanhaecke
18
65 kgVan den Branden
30
78 kg
5
74 kgDockx
10
61 kgVandenabeele
14
64 kgVanhaecke
18
65 kgVan den Branden
30
78 kg
Weight (KG) →
Result →
78
61
5
30
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | DE SCHUYTENEER Steffen | 74 |
| 10 | DOCKX Gilles | 61 |
| 14 | VANDENABEELE Kobe | 64 |
| 18 | VANHAECKE Arno | 65 |
| 30 | VAN DEN BRANDEN Rune | 78 |