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 = -0.3 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Hoffman
1
80 kgSeigneur
2
71 kgVierhouten
3
71 kgEeckhout
5
73 kgVan Bondt
7
71 kg
1
80 kgSeigneur
2
71 kgVierhouten
3
71 kgEeckhout
5
73 kgVan Bondt
7
71 kg
Weight (KG) →
Result →
80
71
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOFFMAN Tristan | 80 |
| 2 | SEIGNEUR Eddy | 71 |
| 3 | VIERHOUTEN Aart | 71 |
| 5 | EECKHOUT Niko | 73 |
| 7 | VAN BONDT Geert | 71 |