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 + 35
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FREDHEIM Stian | 72 |
| 3 | GAUTHERAT Pierre | 70 |
| 4 | VAN MECHELEN Vlad | 78 |
| 5 | GRÉGOIRE Romain | 64 |
| 7 | HERZOG Emil | 74 |
| 8 | KRAMER Jesse | 74 |
| 12 | REINDERINK Joris | 59 |
| 13 | HAJEK Alexander | 55 |
| 15 | BRENNSÆTER Trym | 66 |