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 + 56
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BUGTER Luuc | 81 |
| 2 | VAN DALEN Jason | 70 |
| 3 | GHYS Robbe | 72 |
| 7 | THIÈRY Cyrille | 67 |
| 9 | IMHOF Claudio | 80 |
| 13 | DOWNING Russell | 64 |
| 14 | RATHE Jacob | 74 |
| 16 | HOLLER Nikodemus | 58 |
| 17 | CASTILLO Ulises Alfredo | 72 |
| 19 | TULNER Rens | 62 |
| 23 | BICHLMANN Daniel | 72 |
| 24 | TOWNSEND Rory | 73 |
| 25 | LIZDE Seid | 70 |
| 27 | RÜEGG Lukas | 66 |
| 28 | STEDMAN Maximilian | 54 |
| 31 | RYAN Fintan | 70 |