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 - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Riabushenko
1
61 kgvan der Poel
2
75 kgGesbert
4
63 kgCavagna
8
78 kgJourniaux
9
63 kgNowak
10
68 kgBonnamour
12
70 kg
1
61 kgvan der Poel
2
75 kgGesbert
4
63 kgCavagna
8
78 kgJourniaux
9
63 kgNowak
10
68 kgBonnamour
12
70 kg
Weight (KG) →
Result →
78
61
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RIABUSHENKO Alexandr | 61 |
| 2 | VAN DER POEL Mathieu | 75 |
| 4 | GESBERT Élie | 63 |
| 8 | CAVAGNA Rémi | 78 |
| 9 | JOURNIAUX Axel | 63 |
| 10 | NOWAK Florian | 68 |
| 12 | BONNAMOUR Franck | 70 |