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 = -0.5 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | BADILATTI Matteo | 62 |
| 5 | GELDERS Gil | 66 |
| 6 | ORMISTON Callum | 67 |
| 7 | MULUBRHAN Henok | 60 |
| 8 | FOUCHÉ James | 71 |
| 9 | FROOME Chris | 68 |
| 11 | ITURRIA Mikel | 69 |
| 12 | STEWART Mark | 70 |
| 14 | IRIBAR Unai | 64 |
| 16 | LECERF Junior | 54 |
| 17 | HABTEAB Yoel | 61 |
| 19 | REINDERINK Pepijn | 67 |
| 20 | BUDYAK Anatoliy | 53 |
| 21 | BIZKARRA Mikel | 53 |
| 24 | GRELLIER Fabien | 65 |
| 25 | DE LA PARTE Víctor | 64 |