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 = -0.9 * weight + 71
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Cully
1
73 kgČanecký
2
72 kgLohinský
5
71 kgKubiš
8
70 kgTybor
9
72 kgTuka
18
57 kg
1
73 kgČanecký
2
72 kgLohinský
5
71 kgKubiš
8
70 kgTybor
9
72 kgTuka
18
57 kg
Weight (KG) →
Result →
73
57
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CULLY Ján Andrej | 73 |
| 2 | ČANECKÝ Marek | 72 |
| 5 | LOHINSKÝ Filip | 71 |
| 8 | KUBIŠ Lukáš | 70 |
| 9 | TYBOR Patrik | 72 |
| 18 | TUKA Samuel | 57 |