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 - 14
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEIGNER Kilian | 62 |
| 2 | VAN GRIEKEN Jarne | 71 |
| 3 | RETAILLEAU Valentin | 64 |
| 6 | ENGELHARDT Felix | 68 |
| 11 | JOLLY Maxime | 70 |
| 14 | KELMELIS Aristidas | 78 |
| 16 | PAJUR Markus | 72 |
| 22 | VAN HEMELEN Vincent | 71 |
| 24 | HENDRIKX Mees | 61 |
| 25 | VERWILT Mauro | 76 |
| 26 | KAMP Ryan | 69 |
| 27 | HENNEBERG Magnus | 67 |