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 = 0.3 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Bobet
4
74 kgImpanis
13
69 kgGaul
14
64 kgVan Steenbergen
31
83 kgErnzer
33
69 kgJanssens
36
68 kg
4
74 kgImpanis
13
69 kgGaul
14
64 kgVan Steenbergen
31
83 kgErnzer
33
69 kgJanssens
36
68 kg
Weight (KG) →
Result →
83
64
4
36
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | BOBET Louison | 74 |
| 13 | IMPANIS Raymond | 69 |
| 14 | GAUL Charly | 64 |
| 31 | VAN STEENBERGEN Rik | 83 |
| 33 | ERNZER Marcel | 69 |
| 36 | JANSSENS Marcel | 68 |