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 = -0.7 * weight + 60
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
De Vlaeminck
2
74 kgRaas
5
72 kgPlanckaert
7
69 kgHeirweg
9
73 kgMaertens
20
65 kgvan den Hoek
21
77 kgKuiper
28
69 kg
2
74 kgRaas
5
72 kgPlanckaert
7
69 kgHeirweg
9
73 kgMaertens
20
65 kgvan den Hoek
21
77 kgKuiper
28
69 kg
Weight (KG) →
Result →
77
65
2
28
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DE VLAEMINCK Roger | 74 |
| 5 | RAAS Jan | 72 |
| 7 | PLANCKAERT Eddy | 69 |
| 9 | HEIRWEG Dirk | 73 |
| 20 | MAERTENS Freddy | 65 |
| 21 | VAN DEN HOEK Aad | 77 |
| 28 | KUIPER Hennie | 69 |