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 + 16
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Cancellara
1
80 kgRoelandts
2
78 kgDurbridge
3
78 kgElmiger
4
73 kgIzagirre
5
60 kg
1
80 kgRoelandts
2
78 kgDurbridge
3
78 kgElmiger
4
73 kgIzagirre
5
60 kg
Weight (KG) →
Result →
80
60
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CANCELLARA Fabian | 80 |
| 2 | ROELANDTS Jürgen | 78 |
| 3 | DURBRIDGE Luke | 78 |
| 4 | ELMIGER Martin | 73 |
| 5 | IZAGIRRE Ion | 60 |