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 = -0.4 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Keller
2
80 kgČanecký
3
72 kgKubiš
5
70 kgCully
7
73 kgManizabayo
8
72 kg
2
80 kgČanecký
3
72 kgKubiš
5
70 kgCully
7
73 kgManizabayo
8
72 kg
Weight (KG) →
Result →
80
70
2
8
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KELLER Hermann | 80 |
| 3 | ČANECKÝ Marek | 72 |
| 5 | KUBIŠ Lukáš | 70 |
| 7 | CULLY Ján Andrej | 73 |
| 8 | MANIZABAYO Eric | 72 |