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 + 24
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Kröger
1
77 kgNiedermaier
2
52 kgKlein
3
61 kgKasper
6
59 kgLudwig
10
55 kgTeutenberg
14
53 kg
1
77 kgNiedermaier
2
52 kgKlein
3
61 kgKasper
6
59 kgLudwig
10
55 kgTeutenberg
14
53 kg
Weight (KG) →
Result →
77
52
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KRÖGER Mieke | 77 |
| 2 | NIEDERMAIER Antonia | 52 |
| 3 | KLEIN Lisa | 61 |
| 6 | KASPER Romy | 59 |
| 10 | LUDWIG Hannah | 55 |
| 14 | TEUTENBERG Lea Lin | 53 |