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 = -0.6 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Amberg
2
72 kgEgli
3
72 kgZimmermann
5
72 kgDidier
8
71 kgMollo
10
62 kg
2
72 kgEgli
3
72 kgZimmermann
5
72 kgDidier
8
71 kgMollo
10
62 kg
Weight (KG) →
Result →
72
62
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | AMBERG Leo | 72 |
| 3 | EGLI Paul | 72 |
| 5 | ZIMMERMANN Robert | 72 |
| 8 | DIDIER Christophe | 71 |
| 10 | MOLLO Enrico | 62 |