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 - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Seixas
2
61 kgSparfel
3
59 kgGualdi
4
61 kgDe Schuyteneer
5
74 kgBarhoumi
9
73 kgHaugland
16
74 kgNordhagen
17
59 kg
2
61 kgSparfel
3
59 kgGualdi
4
61 kgDe Schuyteneer
5
74 kgBarhoumi
9
73 kgHaugland
16
74 kgNordhagen
17
59 kg
Weight (KG) →
Result →
74
59
2
17
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SEIXAS Paul | 61 |
| 3 | SPARFEL Aubin | 59 |
| 4 | GUALDI Simone | 61 |
| 5 | DE SCHUYTENEER Steffen | 74 |
| 9 | BARHOUMI Ilian Alexandre | 73 |
| 16 | HAUGLAND Kasper | 74 |
| 17 | NORDHAGEN Jørgen | 59 |