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 = -0.3 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MULUBRHAN Henok | 60 |
| 5 | GELDERS Gil | 66 |
| 7 | STEWART Mark | 70 |
| 9 | LECERF Junior | 54 |
| 11 | ORMISTON Callum | 67 |
| 12 | BLACKMORE Joseph | 66 |
| 13 | IRIBAR Unai | 64 |
| 15 | FOUCHÉ James | 71 |
| 18 | FROOME Chris | 68 |
| 20 | DE LA PARTE Víctor | 64 |
| 23 | BIZKARRA Mikel | 53 |
| 24 | BUDYAK Anatoliy | 53 |
| 25 | GABBURO Davide | 63 |
| 26 | GRELLIER Fabien | 65 |