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 = 1.9 * weight - 125
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
Pronk
1
73 kgAerts
3
68 kgMattan
4
69 kgMarichal
6
72 kgvan Dijk
22
74 kg
1
73 kgAerts
3
68 kgMattan
4
69 kgMarichal
6
72 kgvan Dijk
22
74 kg
Weight (KG) →
Result →
74
68
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PRONK Matthé | 73 |
| 3 | AERTS Mario | 68 |
| 4 | MATTAN Nico | 69 |
| 6 | MARICHAL Thierry | 72 |
| 22 | VAN DIJK Stefan | 74 |