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 = 0.1 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Rougier-Lagane
1
69 kgde Comarmond
2
66 kgMayer
3
64 kgMatombé
4
63 kgMayer
5
63 kgLincoln
6
75 kg
1
69 kgde Comarmond
2
66 kgMayer
3
64 kgMatombé
4
63 kgMayer
5
63 kgLincoln
6
75 kg
Weight (KG) →
Result →
75
63
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROUGIER-LAGANE Christopher | 69 |
| 2 | DE COMARMOND Aurelien | 66 |
| 3 | MAYER Alexandre | 64 |
| 4 | MATOMBÉ Hanson | 63 |
| 5 | MAYER Gregory | 63 |
| 6 | LINCOLN Yannick | 75 |