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 = 0.1 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Padrnos
1
81 kgVoigt
3
76 kgBaranowski
4
68 kgUllrich
6
73 kgRich
9
82 kg
1
81 kgVoigt
3
76 kgBaranowski
4
68 kgUllrich
6
73 kgRich
9
82 kg
Weight (KG) →
Result →
82
68
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PADRNOS Pavel | 81 |
| 3 | VOIGT Jens | 76 |
| 4 | BARANOWSKI Dariusz | 68 |
| 6 | ULLRICH Jan | 73 |
| 9 | RICH Michael | 82 |