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 = -0.4 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Capelle
4
75 kgDa Cruz
5
74 kgHøj
6
80 kgBuxhofer
9
70 kgDe Wilde
10
70 kg
4
75 kgDa Cruz
5
74 kgHøj
6
80 kgBuxhofer
9
70 kgDe Wilde
10
70 kg
Weight (KG) →
Result →
80
70
4
10
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | CAPELLE Ludovic | 75 |
| 5 | DA CRUZ Carlos | 74 |
| 6 | HØJ Frank | 80 |
| 9 | BUXHOFER Matthias | 70 |
| 10 | DE WILDE Etienne | 70 |