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 = -0.4 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MORIN Anthony | 79 |
| 3 | LANGELLA Anthony | 76 |
| 5 | PICHON Mickaël | 62 |
| 6 | D'HOLLANDER Glenn | 74 |
| 8 | DE JONGH Steven | 76 |
| 9 | HONDO Danilo | 73 |
| 10 | NAZON Jean-Patrick | 74 |
| 11 | WROLICH Peter | 68 |
| 12 | POLLACK Olaf | 77 |
| 14 | VAN DIJK Stefan | 74 |
| 15 | PRONK Matthé | 73 |
| 16 | AEBERSOLD Niki | 58 |
| 18 | HINAULT Sébastien | 63 |
| 19 | HAMMOND Roger | 71 |