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 * weight + 7
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EWAN Caleb | 69 |
| 2 | COQUARD Bryan | 59 |
| 3 | KRISTOFF Alexander | 78 |
| 4 | SYRITSA Gleb | 85 |
| 5 | MAGNIER Paul | 70 |
| 6 | PELEGRÍ Óscar | 63 |
| 7 | TZORTZAKIS Polychronis | 80 |
| 8 | CAPIOT Amaury | 69 |
| 9 | DE POOTER Dries | 66 |
| 10 | MALUCELLI Matteo | 68 |
| 11 | BRUSTENGA Marc | 80 |
| 12 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 13 | JAKOBSEN Fabio | 78 |