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 - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GRÉGOIRE Romain | 64 |
| 2 | ALBANESE Vincenzo | 70 |
| 3 | VAUQUELIN Kévin | 69 |
| 5 | RUTSCH Jonas | 82 |
| 6 | LE BERRE Mathis | 68 |
| 8 | ASKEY Lewis | 75 |
| 9 | ALAPHILIPPE Julian | 62 |
| 10 | CASTRILLO Pablo | 74 |
| 11 | SIMMONS Quinn | 73 |
| 12 | SCHMID Mauro | 70 |
| 13 | O'CONNOR Ben | 67 |
| 14 | MOHORIČ Matej | 71 |
| 15 | VAN POPPEL Danny | 82 |
| 16 | DILLIER Silvan | 75 |