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 = -0.8 * weight + 72
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PESCHEL Uwe | 72 |
| 2 | MOREAU Francis | 77 |
| 3 | ELLI Alberto | 71 |
| 5 | BREUKINK Erik | 70 |
| 6 | BRUYNEEL Johan | 71 |
| 7 | BLAUDZUN Michael | 66 |
| 9 | SØRENSEN Rolf | 70 |
| 10 | EKIMOV Viatcheslav | 69 |
| 11 | RICH Michael | 82 |
| 15 | SEIGNEUR Eddy | 71 |
| 16 | DEN BAKKER Maarten | 71 |
| 17 | KNAVEN Servais | 68 |
| 18 | DEKKER Erik | 66 |
| 19 | BARTOLI Michele | 65 |
| 20 | HOLM SØRENSEN Brian | 77 |
| 36 | SUNDERLAND Scott | 65 |
| 43 | GONO Marcel | 69 |