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 + 13
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BONNAMOUR Franck | 70 |
| 3 | RIVIÈRE David | 63 |
| 4 | GESBERT Élie | 63 |
| 5 | VLASOV Aleksandr | 68 |
| 6 | LEPLINGARD Antoine | 68 |
| 8 | TIETEMA Bas | 74 |
| 10 | GAUDU David | 53 |
| 20 | NYCH Artem | 74 |
| 22 | DOETS Marco | 73 |
| 23 | TIVANI German Nicolás | 67 |
| 26 | KURIANOV Stepan | 74 |
| 44 | SELLIER Simon | 68 |
| 48 | MAAS Jan | 70 |
| 70 | JOURNIAUX Axel | 63 |
| 88 | CHERKASOV Nikolay | 68 |