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 = -0.4 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Bissegger
1
78 kgSchmid
3
70 kgSuter
4
75 kgBalmer
5
70 kgVogel
6
80 kgJacobs
8
78 kgBachmann
17
69 kg
1
78 kgSchmid
3
70 kgSuter
4
75 kgBalmer
5
70 kgVogel
6
80 kgJacobs
8
78 kgBachmann
17
69 kg
Weight (KG) →
Result →
80
69
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BISSEGGER Stefan | 78 |
| 3 | SCHMID Mauro | 70 |
| 4 | SUTER Joel | 75 |
| 5 | BALMER Alexandre | 70 |
| 6 | VOGEL Alex | 80 |
| 8 | JACOBS Johan | 78 |
| 17 | BACHMANN Laurin | 69 |