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 - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Schönberger
1
64 kgVingegaard
2
58 kgHernaiz
3
68 kgIzagirre
4
60 kgMoscon
5
71 kgDennis
6
72 kg
1
64 kgVingegaard
2
58 kgHernaiz
3
68 kgIzagirre
4
60 kgMoscon
5
71 kgDennis
6
72 kg
Weight (KG) →
Result →
72
58
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHÖNBERGER Sebastian | 64 |
| 2 | VINGEGAARD Jonas | 58 |
| 3 | HERNAIZ Vicente | 68 |
| 4 | IZAGIRRE Ion | 60 |
| 5 | MOSCON Gianni | 71 |
| 6 | DENNIS Rohan | 72 |