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 - 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Raas
1
72 kgvan den Hoek
2
77 kgKuiper
3
69 kgZoetemelk
4
68 kgSchuiten
8
83 kgKrekels
13
73 kgKarstens
15
74 kg
1
72 kgvan den Hoek
2
77 kgKuiper
3
69 kgZoetemelk
4
68 kgSchuiten
8
83 kgKrekels
13
73 kgKarstens
15
74 kg
Weight (KG) →
Result →
83
68
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAAS Jan | 72 |
| 2 | VAN DEN HOEK Aad | 77 |
| 3 | KUIPER Hennie | 69 |
| 4 | ZOETEMELK Joop | 68 |
| 8 | SCHUITEN Roy | 83 |
| 13 | KREKELS Jan | 73 |
| 15 | KARSTENS Gerben | 74 |