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 = 0.7 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Lippert
2
56 kgNiedermaier
3
52 kgKasper
5
59 kgLudwig
6
55 kgTeutenberg
8
53 kgSüßemilch
16
67 kg
2
56 kgNiedermaier
3
52 kgKasper
5
59 kgLudwig
6
55 kgTeutenberg
8
53 kgSüßemilch
16
67 kg
Weight (KG) →
Result →
67
52
2
16
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LIPPERT Liane | 56 |
| 3 | NIEDERMAIER Antonia | 52 |
| 5 | KASPER Romy | 59 |
| 6 | LUDWIG Hannah | 55 |
| 8 | TEUTENBERG Lea Lin | 53 |
| 16 | SÜßEMILCH Laura | 67 |