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 - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Habteab
2
61 kgvan Engelen
3
51 kgIderbold
4
58 kgDe Rossi
5
70 kgPhounsavath
7
67 kgLauk
8
69 kg
2
61 kgvan Engelen
3
51 kgIderbold
4
58 kgDe Rossi
5
70 kgPhounsavath
7
67 kgLauk
8
69 kg
Weight (KG) →
Result →
70
51
2
8
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HABTEAB Yoel | 61 |
| 3 | VAN ENGELEN Adne | 51 |
| 4 | IDERBOLD Bold | 58 |
| 5 | DE ROSSI Lucas | 70 |
| 7 | PHOUNSAVATH Ariya | 67 |
| 8 | LAUK Karl Patrick | 69 |