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 + 46
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | CRABBE Tom | 70 |
| 16 | VAN DEN BROEK Axel | 69 |
| 17 | LIGHTFOOT Mark | 57 |
| 19 | MACHIN Zak | 75 |
| 21 | GRAFF William | 68 |
| 24 | DE BOCK Aless | 70 |
| 30 | DOCKX Gilles | 61 |
| 32 | NISBET Cormac | 60 |
| 36 | VANHUFFEL Matteo | 57 |
| 41 | VERGOUW Julian | 73 |
| 43 | STONEHAM Angus | 67 |