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 + 27
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
De Wilde
8
70 kgDemol
14
72 kgvan den Hoek
21
77 kgKuiper
24
69 kgPlanckaert
26
69 kg
8
70 kgDemol
14
72 kgvan den Hoek
21
77 kgKuiper
24
69 kgPlanckaert
26
69 kg
Weight (KG) →
Result →
77
69
8
26
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | DE WILDE Etienne | 70 |
| 14 | DEMOL Dirk | 72 |
| 21 | VAN DEN HOEK Aad | 77 |
| 24 | KUIPER Hennie | 69 |
| 26 | PLANCKAERT Eddy | 69 |