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 + 48
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Brennauer
1
63 kgKupfernagel
4
68 kgBecker
5
64 kgLichtenberg
8
52 kgKasper
14
59 kgHammes
17
54 kg
1
63 kgKupfernagel
4
68 kgBecker
5
64 kgLichtenberg
8
52 kgKasper
14
59 kgHammes
17
54 kg
Weight (KG) →
Result →
68
52
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRENNAUER Lisa | 63 |
| 4 | KUPFERNAGEL Hanka | 68 |
| 5 | BECKER Charlotte | 64 |
| 8 | LICHTENBERG Claudia | 52 |
| 14 | KASPER Romy | 59 |
| 17 | HAMMES Kathrin | 54 |