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 + 25
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | GESBERT Élie | 63 |
2 | RIVIÈRE David | 63 |
4 | TIETEMA Bas | 74 |
6 | TIVANI German Nicolás | 67 |
8 | VLASOV Aleksandr | 68 |
9 | CHERKASOV Nikolay | 68 |
11 | SELLIER Simon | 68 |
14 | NYCH Artem | 74 |
15 | MAAS Jan | 70 |
17 | DOETS Marco | 73 |
20 | GAUDU David | 53 |
23 | BONNAMOUR Franck | 70 |
26 | KURIANOV Stepan | 74 |
31 | LEPLINGARD Antoine | 68 |
46 | JOURNIAUX Axel | 63 |