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 + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Rohde
1
75 kgDinkler
2
61 kgTenbrock
3
74 kgLöer
4
69 kgKessler
5
78 kgBerger
20
66 kg
1
75 kgDinkler
2
61 kgTenbrock
3
74 kgLöer
4
69 kgKessler
5
78 kgBerger
20
66 kg
Weight (KG) →
Result →
78
61
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROHDE Leon | 75 |
| 2 | DINKLER Jonathan | 61 |
| 3 | TENBROCK Jonas | 74 |
| 4 | LÖER Lukas | 69 |
| 5 | KESSLER Robert | 78 |
| 20 | BERGER Leon | 66 |