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 = -0.6 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Sieberg
1
80 kgMazur
2
73 kgBurghardt
3
75 kgVan den Broeck
5
69 kgGreipel
9
80 kgKohl
13
61 kgRuss
17
62 kg
1
80 kgMazur
2
73 kgBurghardt
3
75 kgVan den Broeck
5
69 kgGreipel
9
80 kgKohl
13
61 kgRuss
17
62 kg
Weight (KG) →
Result →
80
61
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIEBERG Marcel | 80 |
| 2 | MAZUR Peter | 73 |
| 3 | BURGHARDT Marcus | 75 |
| 5 | VAN DEN BROECK Jurgen | 69 |
| 9 | GREIPEL André | 80 |
| 13 | KOHL Bernhard | 61 |
| 17 | RUSS Matthias | 62 |