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 + 57
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
van der Poel
1
75 kgPeters
7
72 kgCavagna
15
78 kgJourniaux
17
63 kgLeplingard
19
68 kg
1
75 kgPeters
7
72 kgCavagna
15
78 kgJourniaux
17
63 kgLeplingard
19
68 kg
Weight (KG) →
Result →
78
63
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER POEL Mathieu | 75 |
| 7 | PETERS Nans | 72 |
| 15 | CAVAGNA Rémi | 78 |
| 17 | JOURNIAUX Axel | 63 |
| 19 | LEPLINGARD Antoine | 68 |