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 = -0.6 * weight + 54
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE JONGH Steven | 76 |
| 2 | HUNT Jeremy | 76 |
| 3 | HONDO Danilo | 73 |
| 5 | NAZON Damien | 68 |
| 7 | JALABERT Nicolas | 68 |
| 8 | VAN DIJK Stefan | 74 |
| 9 | WROLICH Peter | 68 |
| 11 | VERHEYEN Geert | 68 |
| 13 | SWEET Jay | 69 |
| 14 | MÜLLER Martin | 79 |
| 16 | HINAULT Sébastien | 63 |
| 17 | AERTS Mario | 68 |
| 19 | AEBERSOLD Niki | 58 |