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 = -0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NÜTTLI Jean | 70 |
| 2 | BODROGI László | 79 |
| 3 | HONCHAR Serhiy | 67 |
| 4 | ROESEMS Bert | 81 |
| 5 | BRARD Florent | 74 |
| 6 | ROGERS Michael | 74 |
| 7 | MATTAN Nico | 69 |
| 8 | VOSKAMP Bart | 75 |
| 9 | PETROV Evgeni | 70 |
| 10 | DURAND Jacky | 76 |
| 11 | O'NEILL Nathan | 72 |
| 12 | WEGELIUS Charles | 62 |
| 13 | SEIGNEUR Eddy | 71 |
| 14 | SIMON François | 70 |
| 18 | NEUVILLE Jerome | 85 |
| 19 | TESSIER Jean-Michel | 70 |
| 20 | VIRENQUE Richard | 65 |