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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Dekker
2
66 kgKnaven
3
68 kgVoskamp
5
75 kgCompas
8
79 kgRumšas
20
64 kgVierhouten
23
71 kgvan Bon
25
72 kg
2
66 kgKnaven
3
68 kgVoskamp
5
75 kgCompas
8
79 kgRumšas
20
64 kgVierhouten
23
71 kgvan Bon
25
72 kg
Weight (KG) →
Result →
79
64
2
25
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DEKKER Erik | 66 |
| 3 | KNAVEN Servais | 68 |
| 5 | VOSKAMP Bart | 75 |
| 8 | COMPAS Rob | 79 |
| 20 | RUMŠAS Raimondas | 64 |
| 23 | VIERHOUTEN Aart | 71 |
| 25 | VAN BON Léon | 72 |