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 = -54.9 * weight + 4409
This means that on average for every extra kilogram weight a rider loses -54.9 positions in the result.
Impanis
13
69 kgBobet
20
74 kgVan Steenbergen
29
83 kgGaul
990
64 kgJanssens
990
68 kgErnzer
990
69 kg
13
69 kgBobet
20
74 kgVan Steenbergen
29
83 kgGaul
990
64 kgJanssens
990
68 kgErnzer
990
69 kg
Weight (KG) →
Result →
83
64
13
990
| # | Rider | Weight (KG) |
|---|---|---|
| 13 | IMPANIS Raymond | 69 |
| 20 | BOBET Louison | 74 |
| 29 | VAN STEENBERGEN Rik | 83 |
| 990 | GAUL Charly | 64 |
| 990 | JANSSENS Marcel | 68 |
| 990 | ERNZER Marcel | 69 |