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 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Kegel
3
72 kgHojlund
9
80 kgHanusik
10
74 kgGera
11
76 kgMilsett
14
70 kgCzechowski
16
75 kg
3
72 kgHojlund
9
80 kgHanusik
10
74 kgGera
11
76 kgMilsett
14
70 kgCzechowski
16
75 kg
Weight (KG) →
Result →
80
70
3
16
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KEGEL Marian | 72 |
| 9 | HOJLUND Ole | 80 |
| 10 | HANUSIK Zygmunt | 74 |
| 11 | GERA Imre | 76 |
| 14 | MILSETT Tore | 70 |
| 16 | CZECHOWSKI Zenon | 75 |