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 + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Landa
1
61 kgSchönberger
2
64 kgFirsanov
3
58 kgMendes
4
64 kgCunego
5
58 kgBerlato
6
60 kg
1
61 kgSchönberger
2
64 kgFirsanov
3
58 kgMendes
4
64 kgCunego
5
58 kgBerlato
6
60 kg
Weight (KG) →
Result →
64
58
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LANDA Mikel | 61 |
| 2 | SCHÖNBERGER Sebastian | 64 |
| 3 | FIRSANOV Sergey | 58 |
| 4 | MENDES José | 64 |
| 5 | CUNEGO Damiano | 58 |
| 6 | BERLATO Giacomo | 60 |