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 = 0.7 * weight - 42
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Andersson
2
71 kgHundertmarck
4
72 kgAndersen
5
71 kgMadouas
6
70 kgvan Heeswijk
7
73 kgSilovs
10
79 kg
2
71 kgHundertmarck
4
72 kgAndersen
5
71 kgMadouas
6
70 kgvan Heeswijk
7
73 kgSilovs
10
79 kg
Weight (KG) →
Result →
79
70
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ANDERSSON Michael | 71 |
| 4 | HUNDERTMARCK Kai | 72 |
| 5 | ANDERSEN Christian | 71 |
| 6 | MADOUAS Laurent | 70 |
| 7 | VAN HEESWIJK Max | 73 |
| 10 | SILOVS Juris | 79 |