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 - 20
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Hagen
1
65 kgSchönberger
4
64 kgGolčer
5
66.5 kgKusztor
6
61 kgTratnik
8
67 kgPozdnyakov
9
67 kg
1
65 kgSchönberger
4
64 kgGolčer
5
66.5 kgKusztor
6
61 kgTratnik
8
67 kgPozdnyakov
9
67 kg
Weight (KG) →
Result →
67
61
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAGEN Carl Fredrik | 65 |
| 4 | SCHÖNBERGER Sebastian | 64 |
| 5 | GOLČER Jure | 66.5 |
| 6 | KUSZTOR Péter | 61 |
| 8 | TRATNIK Jan | 67 |
| 9 | POZDNYAKOV Kirill | 67 |