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 = -1.4 * weight + 116
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Keller
1
80 kgChren
6
72 kgČanecký
11
72 kgKubiš
16
70 kgManizabayo
17
72 kgCully
20
73 kg
1
80 kgChren
6
72 kgČanecký
11
72 kgKubiš
16
70 kgManizabayo
17
72 kgCully
20
73 kg
Weight (KG) →
Result →
80
70
1
20
# | Rider | Weight (KG) |
---|---|---|
1 | KELLER Hermann | 80 |
6 | CHREN Martin | 72 |
11 | ČANECKÝ Marek | 72 |
16 | KUBIŠ Lukáš | 70 |
17 | MANIZABAYO Eric | 72 |
20 | CULLY Ján Andrej | 73 |