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 = -0.2 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Moerenhout
1
72 kgGarnier
2
74 kgWauters
3
72 kgNeuville
5
80 kgBraeckeveldt
6
64 kgLowie
8
68 kg
1
72 kgGarnier
2
74 kgWauters
3
72 kgNeuville
5
80 kgBraeckeveldt
6
64 kgLowie
8
68 kg
Weight (KG) →
Result →
80
64
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOERENHOUT Jef | 72 |
| 2 | GARNIER Henri | 74 |
| 3 | WAUTERS Jean | 72 |
| 5 | NEUVILLE François | 80 |
| 6 | BRAECKEVELDT Adolphe | 64 |
| 8 | LOWIE Jules | 68 |