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 = 10.7 * weight - 247
This means that on average for every extra kilogram weight a rider loses 10.7 positions in the result.
Bobet
30
74 kgImpanis
41
69 kgJanssens
42
68 kgGaul
990
64 kgVan Steenbergen
990
83 kgErnzer
990
69 kg
30
74 kgImpanis
41
69 kgJanssens
42
68 kgGaul
990
64 kgVan Steenbergen
990
83 kgErnzer
990
69 kg
Weight (KG) →
Result →
83
64
30
990
| # | Rider | Weight (KG) |
|---|---|---|
| 30 | BOBET Louison | 74 |
| 41 | IMPANIS Raymond | 69 |
| 42 | JANSSENS Marcel | 68 |
| 990 | GAUL Charly | 64 |
| 990 | VAN STEENBERGEN Rik | 83 |
| 990 | ERNZER Marcel | 69 |