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 + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Piccoli
1
64 kgSpruch
3
68 kgSilovs
4
79 kgGuidi
5
73 kgden Bakker
7
71 kgBaranowski
8
68 kgMcRae
9
62 kg
1
64 kgSpruch
3
68 kgSilovs
4
79 kgGuidi
5
73 kgden Bakker
7
71 kgBaranowski
8
68 kgMcRae
9
62 kg
Weight (KG) →
Result →
79
62
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PICCOLI Mariano | 64 |
| 3 | SPRUCH Zbigniew | 68 |
| 4 | SILOVS Juris | 79 |
| 5 | GUIDI Fabrizio | 73 |
| 7 | DEN BAKKER Maarten | 71 |
| 8 | BARANOWSKI Dariusz | 68 |
| 9 | MCRAE William Chann | 62 |