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 + 37
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHAMBERLAIN Oscar | 74 |
| 3 | DECOMBLE Maxime | 62 |
| 4 | HAUGLAND Kasper | 74 |
| 7 | AUGUST Andrew | 57 |
| 9 | VERGOUW Julian | 73 |
| 12 | LOSPITAO Pablo | 67.5 |
| 13 | RENAUD-TREMBLAY Sasha | 60 |
| 14 | SENTJENS Sente | 85 |
| 16 | CAPRA Thomas | 73 |
| 19 | VAN DEN EIJNDEN Guus | 63 |
| 20 | FOFONOV Artem | 70 |
| 27 | MARTÍNEZ Rafael | 59 |
| 28 | LINDÉN Rasmus | 56 |