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 = -0.3 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VERMOTE Julien | 74 |
| 2 | SERGENT Jesse | 76 |
| 3 | DÉMARE Arnaud | 76 |
| 4 | TRENTIN Matteo | 74 |
| 5 | COUSIN Jérôme | 74 |
| 6 | WALLAYS Jelle | 77 |
| 7 | ROWE Luke | 72 |
| 8 | CORDEEL Sander | 80 |
| 9 | HAVIK Yoeri | 66 |
| 10 | HALLER Marco | 72 |