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 = -0.6 * weight + 56
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GESBERT Élie | 63 |
| 2 | RIVIÈRE David | 63 |
| 3 | BONNAMOUR Franck | 70 |
| 4 | TIETEMA Bas | 74 |
| 6 | LEPLINGARD Antoine | 68 |
| 8 | KURIANOV Stepan | 74 |
| 11 | CHERKASOV Nikolay | 68 |
| 12 | VLASOV Aleksandr | 68 |
| 19 | JOURNIAUX Axel | 63 |
| 20 | SELLIER Simon | 68 |
| 23 | NYCH Artem | 76 |
| 25 | MAAS Jan | 70 |
| 26 | DOETS Marco | 73 |
| 27 | TIVANI German Nicolás | 67 |
| 39 | GAUDU David | 53 |
| 44 | PITA Cristian David | 67 |