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 = -0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Manzin
1
69 kgvan der Poel
2
75 kgDeltombe
3
66 kgDibben
4
78 kgWachter
5
72 kgEg
9
60 kg
1
69 kgvan der Poel
2
75 kgDeltombe
3
66 kgDibben
4
78 kgWachter
5
72 kgEg
9
60 kg
Weight (KG) →
Result →
78
60
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MANZIN Lorrenzo | 69 |
| 2 | VAN DER POEL Mathieu | 75 |
| 3 | DELTOMBE Kevin | 66 |
| 4 | DIBBEN Jonathan | 78 |
| 5 | WACHTER Alexander | 72 |
| 9 | EG Niklas | 60 |