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 = 1.6 * weight - 88
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MUSEEUW Johan | 71 |
| 6 | DE WILDE Etienne | 70 |
| 8 | VEENSTRA Wiebren | 70 |
| 11 | VAN DER POEL Adrie | 70 |
| 15 | DE CLERCQ Mario | 66 |
| 23 | BAFFI Adriano | 70 |
| 31 | HUNDERTMARCK Kai | 72 |
| 32 | BALLERINI Franco | 78 |
| 35 | PIETERS Peter | 82 |
| 38 | WAMPERS Jean-Marie | 82 |
| 39 | PEETERS Wilfried | 76 |
| 45 | CENGHIALTA Bruno | 73 |
| 49 | POLI Eros | 87 |
| 50 | FARAZIJN Peter | 69 |