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 + 1
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ONLEY Oscar | 62 |
| 3 | LABROSSE Jordan | 65 |
| 4 | LECERF Junior | 54 |
| 7 | GELDERS Gil | 66 |
| 8 | BAERS Arne | 62 |
| 13 | DE POOTER Dries | 66 |
| 18 | TRONCHON Bastien | 72 |
| 19 | REINDERINK Pepijn | 67 |
| 21 | LADANG Miguel | 70 |
| 27 | GILABERT Arnau | 57 |
| 30 | COSTIOU Ewen | 64 |
| 34 | MAHOUDO Nolann | 61 |
| 36 | LUNA Alejandro | 60 |
| 38 | MEDINA José Luis | 66 |
| 40 | LAURYSSEN Yorben | 67 |