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 = 1.1 * weight - 55
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAUBOURZEIX Thomas | 70 |
| 2 | MANSOURI Abderrahmane | 66 |
| 5 | MIRZA Yousif | 60 |
| 7 | DE ROOZE Niels | 62 |
| 8 | AFEWERKI Elyas | 63 |
| 9 | LAGAB Azzedine | 63 |
| 13 | OKUBAMARIAM Tesfom | 60 |
| 20 | NOUISRI Ali | 74 |
| 21 | LAHSAINI Mouhssine | 77 |
| 37 | JULES Justin | 64 |
| 56 | BREYNE Jonathan | 83 |
| 57 | MAIYO Ismael Chelanga | 63 |