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 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BALDATO Fabio | 60 |
| 2 | HAMBURGER Bo | 58 |
| 3 | TCHMIL Andrei | 75 |
| 5 | SEIGNEUR Eddy | 71 |
| 6 | HOLM SØRENSEN Brian | 77 |
| 8 | BREUKINK Erik | 70 |
| 9 | DIETZ Bert | 69 |
| 10 | ELLI Alberto | 71 |
| 12 | EKIMOV Viatcheslav | 69 |
| 17 | BLAUDZUN Michael | 66 |
| 18 | THIJS Erwin | 69 |
| 20 | BOOGERD Michael | 62 |