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 = -0.2 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Rougier-Lagane
1
69 kgMayer
2
64 kgde Comarmond
3
66 kgLincoln
4
75 kgMayer
6
63 kgMatombé
7
63 kg
1
69 kgMayer
2
64 kgde Comarmond
3
66 kgLincoln
4
75 kgMayer
6
63 kgMatombé
7
63 kg
Weight (KG) →
Result →
75
63
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROUGIER-LAGANE Christopher | 69 |
| 2 | MAYER Alexandre | 64 |
| 3 | DE COMARMOND Aurelien | 66 |
| 4 | LINCOLN Yannick | 75 |
| 6 | MAYER Gregory | 63 |
| 7 | MATOMBÉ Hanson | 63 |