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 = -0.7 * weight + 62
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHAABANE Hichem | 70 |
| 3 | DEBESAY Mekseb | 64 |
| 4 | MANSOURI Abderrahmane | 66 |
| 8 | LAGAB Azzedine | 63 |
| 9 | GHEBREIGZABHIER Amanuel | 68 |
| 22 | TRIO Niels | 67 |
| 23 | AÏT EL ABDIA Anass | 66 |
| 41 | LOWYCK Jesse | 55 |
| 42 | MORTIER Lenny | 60 |
| 44 | JASER Nazir | 75 |