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 + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Moser
1
79 kgDuclos-Lassalle
4
73 kgVan Impe
6
59 kgOvion
7
64 kgBernaudeau
10
64 kg
1
79 kgDuclos-Lassalle
4
73 kgVan Impe
6
59 kgOvion
7
64 kgBernaudeau
10
64 kg
Weight (KG) →
Result →
79
59
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSER Francesco | 79 |
| 4 | DUCLOS-LASSALLE Gilbert | 73 |
| 6 | VAN IMPE Lucien | 59 |
| 7 | OVION Régis | 64 |
| 10 | BERNAUDEAU Jean-René | 64 |