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 + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Gardeyn
1
75 kgMuravyev
4
75 kgDe Schrooder
12
61 kgCoenen
14
67 kgBoonen
15
82 kg
1
75 kgMuravyev
4
75 kgDe Schrooder
12
61 kgCoenen
14
67 kgBoonen
15
82 kg
Weight (KG) →
Result →
82
61
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GARDEYN Gorik | 75 |
| 4 | MURAVYEV Dmitriy | 75 |
| 12 | DE SCHROODER Benny | 61 |
| 14 | COENEN Johan | 67 |
| 15 | BOONEN Tom | 82 |