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 = -0.3 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Lührs
1
83 kgHohmann
3
73 kgWacker
4
68 kgLaurance
6
66 kgRosner
7
68 kg
1
83 kgHohmann
3
73 kgWacker
4
68 kgLaurance
6
66 kgRosner
7
68 kg
Weight (KG) →
Result →
83
66
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LÜHRS Leslie | 83 |
| 3 | HOHMANN Lars | 73 |
| 4 | WACKER Ludvig Anton | 68 |
| 6 | LAURANCE Axel | 66 |
| 7 | ROSNER Linus | 68 |