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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Van Looy
2
73 kgVan Steenbergen
3
83 kgDe Bruyne
4
68 kgImpanis
9
69 kg
2
73 kgVan Steenbergen
3
83 kgDe Bruyne
4
68 kgImpanis
9
69 kg
Weight (KG) →
Result →
83
68
2
9
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN LOOY Rik | 73 |
| 3 | VAN STEENBERGEN Rik | 83 |
| 4 | DE BRUYNE Alfred | 68 |
| 9 | IMPANIS Raymond | 69 |