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 + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Wild
1
75 kgFournier
2
60 kgBronzini
3
54 kgJeuland-Tranchant
5
61 kgOlds
6
54 kgBiannic
8
64 kg
1
75 kgFournier
2
60 kgBronzini
3
54 kgJeuland-Tranchant
5
61 kgOlds
6
54 kgBiannic
8
64 kg
Weight (KG) →
Result →
75
54
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WILD Kirsten | 75 |
| 2 | FOURNIER Roxane | 60 |
| 3 | BRONZINI Giorgia | 54 |
| 5 | JEULAND-TRANCHANT Pascale | 61 |
| 6 | OLDS Shelley | 54 |
| 8 | BIANNIC Aude | 64 |