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 = 0.2 * weight + 16
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GHEBREIGZABHIER Amanuel | 68 |
| 3 | DEBESAY Mekseb | 64 |
| 5 | MANSOURI Abderrahmane | 66 |
| 28 | VANDERAERDEN Niels | 82 |
| 30 | TIGRINE Mehdi | 61 |
| 31 | PYFFEROEN Matthias | 68 |
| 42 | CHAABANE Hichem | 70 |
| 42 | JASER Nazir | 75 |
| 43 | VAN AKEN Matthias | 56 |
| 44 | BLOMME Lorenzo | 68 |