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 = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Brennauer
1
63 kgBecker
4
64 kgKnauer
5
60 kgLichtenberg
10
52 kgKröger
11
77 kgKasper
17
59 kgHammes
19
54 kg
1
63 kgBecker
4
64 kgKnauer
5
60 kgLichtenberg
10
52 kgKröger
11
77 kgKasper
17
59 kgHammes
19
54 kg
Weight (KG) →
Result →
77
52
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRENNAUER Lisa | 63 |
| 4 | BECKER Charlotte | 64 |
| 5 | KNAUER Anna | 60 |
| 10 | LICHTENBERG Claudia | 52 |
| 11 | KRÖGER Mieke | 77 |
| 17 | KASPER Romy | 59 |
| 19 | HAMMES Kathrin | 54 |