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 - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FOURNIER Marc | 71 |
| 2 | PETERS Nans | 72 |
| 3 | CARDIS Romain | 72 |
| 4 | DOULL Owain | 71 |
| 5 | MATHIS Marco | 71 |
| 6 | DE BONDT Dries | 73 |
| 8 | MANAKOV Victor | 77 |
| 10 | CASIER Arne | 71 |
| 12 | DECLERCQ Benjamin | 67 |
| 13 | CALMEJANE Lilian | 70 |
| 14 | GOOLAERTS Michael | 80 |