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:
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EYOB Metkel | 61 |
| 2 | ARERUYA Joseph | 74 |
| 4 | KANGANGI Suleiman | 64 |
| 7 | KIPKEMBOI Salim | 63 |
| 9 | HOLLER Nikodemus | 58 |
| 16 | DE BOD Stefan | 66 |
| 20 | LAGAB Azzedine | 63 |
| 30 | OKUBAMARIAM Tesfom | 60 |
| 33 | PELLAUD Simon | 70 |
| 34 | VAN ENGELEN Adne | 51 |
| 36 | MUGISHA Samuel | 62 |
| 37 | MUSIE Saymon | 59 |
| 39 | ÁVILA Edwin | 61 |
| 50 | MANSOURI Abderrahmane | 66 |
| 52 | MAYER Alexandre | 64 |
| 56 | LINCOLN Yannick | 75 |
| 61 | VERMEULEN Moran | 67 |