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 = 18.7 * weight - 662
This means that on average for every extra kilogram weight a rider loses 18.7 positions in the result.
Bobet
3
74 kgGaul
30
64 kgImpanis
990
69 kgJanssens
990
68 kgVan Steenbergen
990
83 kgErnzer
990
69 kg
3
74 kgGaul
30
64 kgImpanis
990
69 kgJanssens
990
68 kgVan Steenbergen
990
83 kgErnzer
990
69 kg
Weight (KG) →
Result →
83
64
3
990
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BOBET Louison | 74 |
| 30 | GAUL Charly | 64 |
| 990 | IMPANIS Raymond | 69 |
| 990 | JANSSENS Marcel | 68 |
| 990 | VAN STEENBERGEN Rik | 83 |
| 990 | ERNZER Marcel | 69 |