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 = -0.5 * weight + 44
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Brochard
2
68 kgBourguignon
4
72 kgMadouas
10
70 kgMagnien
14
68 kgDuclos-Lassalle
15
73 kgMarie
22
68 kg
2
68 kgBourguignon
4
72 kgMadouas
10
70 kgMagnien
14
68 kgDuclos-Lassalle
15
73 kgMarie
22
68 kg
Weight (KG) →
Result →
73
68
2
22
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BROCHARD Laurent | 68 |
| 4 | BOURGUIGNON Thierry | 72 |
| 10 | MADOUAS Laurent | 70 |
| 14 | MAGNIEN Emmanuel | 68 |
| 15 | DUCLOS-LASSALLE Gilbert | 73 |
| 22 | MARIE Thierry | 68 |