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 = 0.3 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DOULL Owain | 71 |
| 2 | FOURNIER Marc | 71 |
| 3 | CALMEJANE Lilian | 70 |
| 4 | PETERS Nans | 72 |
| 5 | CARDIS Romain | 72 |
| 6 | GRELLIER Fabien | 65 |
| 7 | FARAZIJN Maxime | 73.5 |
| 8 | CORNU Jérémy | 66 |
| 10 | MATHIS Marco | 71 |
| 11 | PREMONT Christophe | 69 |
| 12 | KRIEGER Alexander | 71 |
| 13 | DE BONDT Dries | 73 |
| 17 | MANAKOV Victor | 77 |
| 18 | CASIER Arne | 71 |
| 20 | TUSVELD Martijn | 70 |
| 23 | DECLERCQ Benjamin | 67 |
| 24 | HAVIK Piotr | 73 |