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 - 34
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Capiot
1
69 kgCardis
3
72 kgVan Meirhaeghe
5
71 kgLunke
7
69 kgWalscheid
15
90 kg
1
69 kgCardis
3
72 kgVan Meirhaeghe
5
71 kgLunke
7
69 kgWalscheid
15
90 kg
Weight (KG) →
Result →
90
69
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAPIOT Amaury | 69 |
| 3 | CARDIS Romain | 72 |
| 5 | VAN MEIRHAEGHE Jef | 71 |
| 7 | LUNKE Sindre | 69 |
| 15 | WALSCHEID Max | 90 |