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 + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Andersen
2
71 kgSkibby
3
70 kgMichaelsen
4
79 kgHamburger
6
58 kgVeenstra
7
70 kg
2
71 kgSkibby
3
70 kgMichaelsen
4
79 kgHamburger
6
58 kgVeenstra
7
70 kg
Weight (KG) →
Result →
79
58
2
7
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ANDERSEN Christian | 71 |
| 3 | SKIBBY Jesper | 70 |
| 4 | MICHAELSEN Lars | 79 |
| 6 | HAMBURGER Bo | 58 |
| 7 | VEENSTRA Wiebren | 70 |