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 + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Remijn
2
68 kgQuint
4
75 kgChaleil
5
68 kgVassal
7
65 kgVan den Broek
8
69 kgSchaper
9
69 kgSparfel
10
59 kg
2
68 kgQuint
4
75 kgChaleil
5
68 kgVassal
7
65 kgVan den Broek
8
69 kgSchaper
9
69 kgSparfel
10
59 kg
Weight (KG) →
Result →
75
59
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | REMIJN Senna | 68 |
| 4 | QUINT Antoine | 75 |
| 5 | CHALEIL Louis | 68 |
| 7 | VASSAL Théophile | 65 |
| 8 | VAN DEN BROEK Axel | 69 |
| 9 | SCHAPER Joeri | 69 |
| 10 | SPARFEL Aubin | 59 |