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 = -0.7 * weight + 56
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
van der Poel
2
75 kgPeters
4
72 kgCavagna
9
78 kgJourniaux
13
63 kgLeplingard
18
68 kg
2
75 kgPeters
4
72 kgCavagna
9
78 kgJourniaux
13
63 kgLeplingard
18
68 kg
Weight (KG) →
Result →
78
63
2
18
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN DER POEL Mathieu | 75 |
| 4 | PETERS Nans | 72 |
| 9 | CAVAGNA Rémi | 78 |
| 13 | JOURNIAUX Axel | 63 |
| 18 | LEPLINGARD Antoine | 68 |