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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Chtioui
1
82 kgBonnafond
2
68 kgVachon
3
65 kgKneisky
4
68 kgOspina
6
62 kgCieślik
8
65 kgGhyselinck
9
74 kg
1
82 kgBonnafond
2
68 kgVachon
3
65 kgKneisky
4
68 kgOspina
6
62 kgCieślik
8
65 kgGhyselinck
9
74 kg
Weight (KG) →
Result →
82
62
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHTIOUI Rafaâ | 82 |
| 2 | BONNAFOND Guillaume | 68 |
| 3 | VACHON Florian | 65 |
| 4 | KNEISKY Morgan | 68 |
| 6 | OSPINA Dalivier | 62 |
| 8 | CIEŚLIK Paweł | 65 |
| 9 | GHYSELINCK Jan | 74 |