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 = 0.9 * weight - 44
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Bobet
2
74 kgGaul
4
64 kgImpanis
7
69 kgJanssens
20
68 kgVan Steenbergen
33
83 kgErnzer
45
69 kg
2
74 kgGaul
4
64 kgImpanis
7
69 kgJanssens
20
68 kgVan Steenbergen
33
83 kgErnzer
45
69 kg
Weight (KG) →
Result →
83
64
2
45
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BOBET Louison | 74 |
| 4 | GAUL Charly | 64 |
| 7 | IMPANIS Raymond | 69 |
| 20 | JANSSENS Marcel | 68 |
| 33 | VAN STEENBERGEN Rik | 83 |
| 45 | ERNZER Marcel | 69 |