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 + 40
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Cully
1
73 kgChren
4
72 kgČanecký
6
72 kgKeller
7
80 kgKubiš
13
70 kgManizabayo
18
72 kg
1
73 kgChren
4
72 kgČanecký
6
72 kgKeller
7
80 kgKubiš
13
70 kgManizabayo
18
72 kg
Weight (KG) →
Result →
80
70
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CULLY Ján Andrej | 73 |
| 4 | CHREN Martin | 72 |
| 6 | ČANECKÝ Marek | 72 |
| 7 | KELLER Hermann | 80 |
| 13 | KUBIŠ Lukáš | 70 |
| 18 | MANIZABAYO Eric | 72 |