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 = -8.9 * weight + 813
This means that on average for every extra kilogram weight a rider loses -8.9 positions in the result.
Bobet
5
74 kgImpanis
6
69 kgGaul
7
64 kgVan Steenbergen
30
83 kgJanssens
35
68 kgErnzer
990
69 kg
5
74 kgImpanis
6
69 kgGaul
7
64 kgVan Steenbergen
30
83 kgJanssens
35
68 kgErnzer
990
69 kg
Weight (KG) →
Result →
83
64
5
990
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | BOBET Louison | 74 |
| 6 | IMPANIS Raymond | 69 |
| 7 | GAUL Charly | 64 |
| 30 | VAN STEENBERGEN Rik | 83 |
| 35 | JANSSENS Marcel | 68 |
| 990 | ERNZER Marcel | 69 |