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 = -0.4 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | FREDHEIM Stian | 72 |
| 3 | GRÉGOIRE Romain | 64 |
| 4 | GAUTHERAT Pierre | 70 |
| 5 | HERZOG Emil | 74 |
| 6 | VAN MECHELEN Vlad | 78 |
| 7 | UIJTDEBROEKS Cian | 68 |
| 9 | ROMEO Iván | 75 |
| 10 | KRAMER Jesse | 74 |
| 12 | BRENNSÆTER Trym | 66 |
| 15 | ROMELE Alessandro | 71 |
| 16 | REINDERINK Joris | 59 |
| 17 | HAJEK Alexander | 55 |
| 20 | HANSEN Alexander Arnt | 68 |