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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Mazur
1
73 kgde Kort
2
69 kgRollin
5
83 kgGilbert
6
73 kgMcCarty
7
68 kgvan Hummel
13
64 kgFriedman
19
82 kg
1
73 kgde Kort
2
69 kgRollin
5
83 kgGilbert
6
73 kgMcCarty
7
68 kgvan Hummel
13
64 kgFriedman
19
82 kg
Weight (KG) →
Result →
83
64
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAZUR Peter | 73 |
| 2 | DE KORT Koen | 69 |
| 5 | ROLLIN Dominique | 83 |
| 6 | GILBERT Martin | 73 |
| 7 | MCCARTY Jonathan Patrick | 68 |
| 13 | VAN HUMMEL Kenny | 64 |
| 19 | FRIEDMAN Michael | 82 |