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 = -3.7 * weight + 287
This means that on average for every extra kilogram weight a rider loses -3.7 positions in the result.
Anquetil
1
70 kgGaul
3
64 kgVan Looy
11
73 kgImpanis
40
69 kgErnzer
57
69 kgRostollan
60
68 kgDaems
84
64 kg
1
70 kgGaul
3
64 kgVan Looy
11
73 kgImpanis
40
69 kgErnzer
57
69 kgRostollan
60
68 kgDaems
84
64 kg
Weight (KG) →
Result →
73
64
1
84
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANQUETIL Jacques | 70 |
| 3 | GAUL Charly | 64 |
| 11 | VAN LOOY Rik | 73 |
| 40 | IMPANIS Raymond | 69 |
| 57 | ERNZER Marcel | 69 |
| 60 | ROSTOLLAN Louis | 68 |
| 84 | DAEMS Emile | 64 |