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 + 30
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEIXAS Paul | 61 |
| 2 | AUGUST Andrew | 57 |
| 3 | BUSH Jacob | 58 |
| 5 | REMIJN Senna | 68 |
| 6 | BARHOUMI Ilian Alexandre | 73 |
| 10 | GIULIANO Dario | 63 |
| 11 | SPARFEL Aubin | 59 |
| 17 | MARIVOET Duarte | 59 |
| 20 | DECOMBLE Maxime | 62 |
| 27 | FIETZKE Paul | 60 |
| 30 | PEACE Oliver | 64 |
| 31 | VAN DEN BROEK Axel | 69 |
| 32 | FINN Lorenzo | 63 |
| 33 | LIGHTFOOT Mark | 57 |
| 37 | GRÉGOIRE Baptiste | 65 |
| 40 | VANHUFFEL Matteo | 57 |