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.
Høj
1
80 kgMüller
2
79 kgGilmore
3
67 kgVan Bondt
4
71 kgPankov
5
72 kgMikhaylov
7
74 kgCapelle
8
73 kg
1
80 kgMüller
2
79 kgGilmore
3
67 kgVan Bondt
4
71 kgPankov
5
72 kgMikhaylov
7
74 kgCapelle
8
73 kg
Weight (KG) →
Result →
80
67
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HØJ Frank | 80 |
| 2 | MÜLLER Martin | 79 |
| 3 | GILMORE Matthew | 67 |
| 4 | VAN BONDT Geert | 71 |
| 5 | PANKOV Oleg | 72 |
| 7 | MIKHAYLOV Gennady | 74 |
| 8 | CAPELLE Christophe | 73 |