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 + 32
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOFLAND Moreno | 71 |
| 2 | PALINI Andrea | 67 |
| 4 | BONIFAZIO Niccolò | 72 |
| 5 | BROWN Graeme Allen | 76 |
| 6 | FERRARI Roberto | 73 |
| 7 | KAŇKOVSKÝ Alois | 83 |
| 8 | WIPPERT Wouter | 75 |
| 9 | KAMYSHEV Arman | 67 |
| 11 | KADLEC Milan | 70 |
| 12 | ASADOV Elchin | 77 |
| 14 | PERON Andrea | 70 |
| 15 | AKDILEK Ahmet | 68 |
| 16 | JULES Justin | 64 |
| 19 | GONÇALVES Domingos | 70 |