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 - 32
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Peters
1
72 kgvan der Poel
9
75 kgJourniaux
12
63 kgLeplingard
18
68 kgCavagna
31
78 kg
1
72 kgvan der Poel
9
75 kgJourniaux
12
63 kgLeplingard
18
68 kgCavagna
31
78 kg
Weight (KG) →
Result →
78
63
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PETERS Nans | 72 |
| 9 | VAN DER POEL Mathieu | 75 |
| 12 | JOURNIAUX Axel | 63 |
| 18 | LEPLINGARD Antoine | 68 |
| 31 | CAVAGNA Rémi | 78 |