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 + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BUGTER Luuc | 81 |
| 3 | DE VYLDER Lindsay | 70 |
| 4 | GHYS Robbe | 72 |
| 5 | CARSTENSEN Lucas | 69 |
| 6 | VAN DALEN Jason | 70 |
| 9 | THIÈRY Cyrille | 67 |
| 10 | DOWNING Russell | 64 |
| 20 | HESTERS Jules | 72 |
| 21 | IMHOF Claudio | 80 |
| 24 | CASTILLO Ulises Alfredo | 72 |
| 25 | HOLLER Nikodemus | 58 |
| 26 | RATHE Jacob | 74 |