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 = -0.5 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Eeckhout
1
73 kgOmloop
2
78 kgFeys
4
80 kgVan Lancker
9
67 kgDe Clercq
11
80 kgHammond
20
71 kg
1
73 kgOmloop
2
78 kgFeys
4
80 kgVan Lancker
9
67 kgDe Clercq
11
80 kgHammond
20
71 kg
Weight (KG) →
Result →
80
67
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EECKHOUT Niko | 73 |
| 2 | OMLOOP Geert | 78 |
| 4 | FEYS Wim | 80 |
| 9 | VAN LANCKER Kurt | 67 |
| 11 | DE CLERCQ Hans | 80 |
| 20 | HAMMOND Roger | 71 |