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 = 1.2 * weight - 58
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | THOMSON Jay Robert | 75 |
| 2 | EYOB Metkel | 61 |
| 3 | MEINTJES Louis | 58 |
| 5 | GIRDLESTONE Dylan | 66 |
| 9 | NIYONSHUTI Adrien | 63 |
| 11 | LEFRANCOIS Nicolas | 82 |
| 12 | VAN ZYL Johann | 72 |
| 17 | KANGANGI Suleiman | 64 |
| 18 | JIM Songezo | 66 |
| 19 | PLANET Charles | 71 |
| 22 | LAGAB Azzedine | 63 |
| 26 | GHEBREIGZABHIER Amanuel | 68 |
| 54 | CHAABANE Hichem | 70 |
| 62 | CREMERS Ruud | 76 |
| 66 | DILLEY Benjamin | 72 |