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 = 0.1 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROCHAS Rémy | 51 |
| 2 | VAN DER POEL Mathieu | 75 |
| 3 | GESBERT Élie | 63 |
| 4 | CHERKASOV Nikolay | 68 |
| 6 | DE PLUS Laurens | 67 |
| 7 | KURIANOV Stepan | 74 |
| 9 | BONNAMOUR Franck | 70 |
| 10 | MERTZ Rémy | 70 |
| 12 | RIVIÈRE David | 63 |
| 13 | PARET-PEINTRE Aurélien | 64 |
| 17 | LEPLINGARD Antoine | 68 |