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 = -0.1 * weight + 7
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Graf
1
72 kgPöstlberger
1
70 kgRabitsch
1
69 kgZoidl
1
63 kgTopchanyuk
2
65 kgVasilyev
2
70 kgVasylyuk
3
65 kg
1
72 kgPöstlberger
1
70 kgRabitsch
1
69 kgZoidl
1
63 kgTopchanyuk
2
65 kgVasilyev
2
70 kgVasylyuk
3
65 kg
Weight (KG) →
Result →
72
63
1
3
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GRAF Andreas | 72 |
| 1 | PÖSTLBERGER Lukas | 70 |
| 1 | RABITSCH Stephan | 69 |
| 1 | ZOIDL Riccardo | 63 |
| 2 | TOPCHANYUK Artem | 65 |
| 2 | VASILYEV Maksym | 70 |
| 3 | VASYLYUK Andriy | 65 |