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 = -0.1 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Voskamp
1
75 kgvan Bon
4
72 kgVeneberg
5
75 kgCordes
6
70 kgTraksel
9
72 kgWielinga
10
68 kgMoerenhout
23
74 kg
1
75 kgvan Bon
4
72 kgVeneberg
5
75 kgCordes
6
70 kgTraksel
9
72 kgWielinga
10
68 kgMoerenhout
23
74 kg
Weight (KG) →
Result →
75
68
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VOSKAMP Bart | 75 |
| 4 | VAN BON Léon | 72 |
| 5 | VENEBERG Thorwald | 75 |
| 6 | CORDES Tom | 70 |
| 9 | TRAKSEL Bobbie | 72 |
| 10 | WIELINGA Remmert | 68 |
| 23 | MOERENHOUT Koos | 74 |