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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Parmentier
3
80 kgRebry
5
75 kgLouesse
7
65 kgLemaire
7
72 kgVan Slembrouck
7
82 kgRonsse
7
77 kg
3
80 kgRebry
5
75 kgLouesse
7
65 kgLemaire
7
72 kgVan Slembrouck
7
82 kgRonsse
7
77 kg
Weight (KG) →
Result →
82
65
3
7
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PARMENTIER Léon | 80 |
| 5 | REBRY Gaston | 75 |
| 7 | LOUESSE Désiré | 65 |
| 7 | LEMAIRE Georges | 72 |
| 7 | VAN SLEMBROUCK Gustave | 82 |
| 7 | RONSSE Georges | 77 |