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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Morajko
1
65 kgTondo
4
68 kgPetrov
5
63 kgMachado
8
63 kgRosendo
10
66 kg
1
65 kgTondo
4
68 kgPetrov
5
63 kgMachado
8
63 kgRosendo
10
66 kg
Weight (KG) →
Result →
68
63
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MORAJKO Jacek | 65 |
| 4 | TONDO Xavier | 68 |
| 5 | PETROV Danail Andonov | 63 |
| 8 | MACHADO Tiago | 63 |
| 10 | ROSENDO Jesús | 66 |