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 = -0.8 * weight + 64
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Dillier
1
75 kgChavanne
4
83 kgAregger
8
70 kgSuter
15
70 kgCambianica
17
64 kg
1
75 kgChavanne
4
83 kgAregger
8
70 kgSuter
15
70 kgCambianica
17
64 kg
Weight (KG) →
Result →
83
64
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DILLIER Silvan | 75 |
| 4 | CHAVANNE Gabriel | 83 |
| 8 | AREGGER Marcel | 70 |
| 15 | SUTER Gaël | 70 |
| 17 | CAMBIANICA Enea | 64 |