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 + 10
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Ghyselinck
1
74 kgCoppel
2
64 kgGallopin
4
69 kgChtioui
6
82 kgOspina
7
62 kgBagot
9
65 kg
1
74 kgCoppel
2
64 kgGallopin
4
69 kgChtioui
6
82 kgOspina
7
62 kgBagot
9
65 kg
Weight (KG) →
Result →
82
62
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GHYSELINCK Jan | 74 |
| 2 | COPPEL Jérôme | 64 |
| 4 | GALLOPIN Tony | 69 |
| 6 | CHTIOUI Rafaâ | 82 |
| 7 | OSPINA Dalivier | 62 |
| 9 | BAGOT Yoann | 65 |