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 = 0.6 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARERUYA Joseph | 74 |
| 2 | EYOB Metkel | 61 |
| 3 | KANGANGI Suleiman | 64 |
| 4 | PELLAUD Simon | 70 |
| 8 | OKUBAMARIAM Tesfom | 60 |
| 11 | HOLLER Nikodemus | 58 |
| 13 | KIPKEMBOI Salim | 63 |
| 16 | VAN ENGELEN Adne | 51 |
| 17 | DE BOD Stefan | 66 |
| 18 | LAGAB Azzedine | 63 |
| 19 | MUGISHA Samuel | 62 |
| 22 | MUSIE Saymon | 59 |
| 42 | ÁVILA Edwin | 61 |
| 47 | VERMEULEN Moran | 67 |
| 49 | MAYER Alexandre | 64 |
| 51 | LINCOLN Yannick | 75 |
| 55 | MANSOURI Abderrahmane | 66 |