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 + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EWAN Caleb | 69 |
| 2 | VAN POPPEL Danny | 82 |
| 3 | BENNETT Sam | 73 |
| 4 | KUMP Marko | 68 |
| 5 | BONIFAZIO Niccolò | 72 |
| 6 | ARNDT Nikias | 77.5 |
| 7 | PLANCKAERT Baptiste | 65 |
| 8 | THEUNS Edward | 72 |
| 9 | SCOTSON Miles | 76 |
| 10 | DE BIE Sean | 65 |
| 11 | MCCARTHY Jay | 63 |
| 12 | DE VREESE Laurens | 78 |
| 13 | GERRANS Simon | 62 |
| 14 | HAAS Nathan | 71 |
| 15 | GONÇALVES José | 70 |