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 = 1.5 * weight - 86
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Van Looy
4
73 kgImpanis
28
69 kgVan Steenbergen
37
83 kgVan Daele
44
78 kg
4
73 kgImpanis
28
69 kgVan Steenbergen
37
83 kgVan Daele
44
78 kg
Weight (KG) →
Result →
83
69
4
44
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | VAN LOOY Rik | 73 |
| 28 | IMPANIS Raymond | 69 |
| 37 | VAN STEENBERGEN Rik | 83 |
| 44 | VAN DAELE Leon | 78 |