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 = -0.9 * weight + 81
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LE HUITOUZE Eddy | 71 |
| 2 | PALENI Enzo | 65 |
| 3 | GAUTHERAT Pierre | 70 |
| 4 | GRÉGOIRE Romain | 64 |
| 9 | LABROSSE Jordan | 65 |
| 10 | RENARD-HAQUIN Henri-François | 74 |
| 11 | COSTIOU Ewen | 64 |
| 21 | TRONCHON Bastien | 72 |
| 22 | CARDOSO Louis | 68 |
| 43 | TACHOT Thomas | 61 |
| 44 | KRAEMER Léo | 63 |
| 46 | DEVROUTE Corentin | 71 |