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 = 0.3 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Hamburger
1
58 kgOzers
2
73 kgRiis
3
71 kgNijdam
5
70 kgHøj
6
80 kgAndersen
7
71 kgMichaelsen
8
79 kg
1
58 kgOzers
2
73 kgRiis
3
71 kgNijdam
5
70 kgHøj
6
80 kgAndersen
7
71 kgMichaelsen
8
79 kg
Weight (KG) →
Result →
80
58
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAMBURGER Bo | 58 |
| 2 | OZERS Kaspars | 73 |
| 3 | RIIS Bjarne | 71 |
| 5 | NIJDAM Jelle | 70 |
| 6 | HØJ Frank | 80 |
| 7 | ANDERSEN Christian | 71 |
| 8 | MICHAELSEN Lars | 79 |